cyber security dissertation topics 2021

Research Topics & Ideas: Cybersecurity

50 Topic Ideas To Kickstart Your Research

Research topics and ideas about cybersecurity

If you’re just starting out exploring cybersecurity-related topics for your dissertation, thesis or research project, you’ve come to the right place. In this post, we’ll help kickstart your research by providing a hearty list of cybersecurity-related research topics and ideas , including examples from recent studies.

PS – This is just the start…

We know it’s exciting to run through a list of research topics, but please keep in mind that this list is just a starting point . These topic ideas provided here are intentionally broad and generic , so keep in mind that you will need to develop them further. Nevertheless, they should inspire some ideas for your project.

To develop a suitable research topic, you’ll need to identify a clear and convincing research gap , and a viable plan to fill that gap. If this sounds foreign to you, check out our free research topic webinar that explores how to find and refine a high-quality research topic, from scratch. Alternatively, consider our 1-on-1 coaching service .

Research Topic Mega List

Cybersecurity-Related Research Topics

  • Developing machine learning algorithms for early detection of cybersecurity threats.
  • The use of artificial intelligence in optimizing network traffic for telecommunication companies.
  • Investigating the impact of quantum computing on existing encryption methods.
  • The application of blockchain technology in securing Internet of Things (IoT) devices.
  • Developing efficient data mining techniques for large-scale social media analytics.
  • The role of virtual reality in enhancing online education platforms.
  • Investigating the effectiveness of various algorithms in reducing energy consumption in data centers.
  • The impact of edge computing on the performance of mobile applications in remote areas.
  • The application of computer vision techniques in automated medical diagnostics.
  • Developing natural language processing tools for sentiment analysis in customer service.
  • The use of augmented reality for training in high-risk industries like oil and gas.
  • Investigating the challenges of integrating AI into legacy enterprise systems.
  • The role of IT in managing supply chain disruptions during global crises.
  • Developing adaptive cybersecurity strategies for small and medium-sized enterprises.
  • The impact of 5G technology on the development of smart city solutions.
  • The application of machine learning in personalized e-commerce recommendations.
  • Investigating the use of cloud computing in improving government service delivery.
  • The role of IT in enhancing sustainability in the manufacturing sector.
  • Developing advanced algorithms for autonomous vehicle navigation.
  • The application of biometrics in enhancing banking security systems.
  • Investigating the ethical implications of facial recognition technology.
  • The role of data analytics in optimizing healthcare delivery systems.
  • Developing IoT solutions for efficient energy management in smart homes.
  • The impact of mobile computing on the evolution of e-health services.
  • The application of IT in disaster response and management.

Research topic evaluator

Cybersecurity Research Ideas (Continued)

  • Assessing the security implications of quantum computing on modern encryption methods.
  • The role of artificial intelligence in detecting and preventing phishing attacks.
  • Blockchain technology in secure voting systems: opportunities and challenges.
  • Cybersecurity strategies for protecting smart grids from targeted attacks.
  • Developing a cyber incident response framework for small to medium-sized enterprises.
  • The effectiveness of behavioural biometrics in preventing identity theft.
  • Securing Internet of Things (IoT) devices in healthcare: risks and solutions.
  • Analysis of cyber warfare tactics and their implications on national security.
  • Exploring the ethical boundaries of offensive cybersecurity measures.
  • Machine learning algorithms for predicting and mitigating DDoS attacks.
  • Study of cryptocurrency-related cybercrimes: patterns and prevention strategies.
  • Evaluating the impact of GDPR on data breach response strategies in the EU.
  • Developing enhanced security protocols for mobile banking applications.
  • An examination of cyber espionage tactics and countermeasures.
  • The role of human error in cybersecurity breaches: a behavioural analysis.
  • Investigating the use of deep fakes in cyber fraud: detection and prevention.
  • Cloud computing security: managing risks in multi-tenant environments.
  • Next-generation firewalls: evaluating performance and security features.
  • The impact of 5G technology on cybersecurity strategies and policies.
  • Secure coding practices: reducing vulnerabilities in software development.
  • Assessing the role of cyber insurance in mitigating financial losses from cyber attacks.
  • Implementing zero trust architecture in corporate networks: challenges and benefits.
  • Ransomware attacks on critical infrastructure: case studies and defence strategies.
  • Using big data analytics for proactive cyber threat intelligence.
  • Evaluating the effectiveness of cybersecurity awareness training in organisations.

Recent Cybersecurity-Related Studies

While the ideas we’ve presented above are a decent starting point for finding a research topic, they are fairly generic and non-specific. So, it helps to look at actual studies in the cybersecurity space to see how this all comes together in practice.

Below, we’ve included a selection of recent studies to help refine your thinking. These are actual studies,  so they can provide some useful insight as to what a research topic looks like in practice.

  • Cyber Security Vulnerability Detection Using Natural Language Processing (Singh et al., 2022)
  • Security for Cloud-Native Systems with an AI-Ops Engine (Ck et al., 2022)
  • Overview of Cyber Security (Yadav, 2022)
  • Exploring the Top Five Evolving Threats in Cybersecurity: An In-Depth Overview (Mijwil et al., 2023)
  • Cyber Security: Strategy to Security Challenges A Review (Nistane & Sharma, 2022)
  • A Review Paper on Cyber Security (K & Venkatesh, 2022)
  • The Significance of Machine Learning and Deep Learning Techniques in Cybersecurity: A Comprehensive Review (Mijwil, 2023)
  • Towards Artificial Intelligence-Based Cybersecurity: The Practices and ChatGPT Generated Ways to Combat Cybercrime (Mijwil et al., 2023)
  • ESTABLISHING CYBERSECURITY AWARENESS OF TECHNICAL SECURITY MEASURES THROUGH A SERIOUS GAME (Harding et al., 2022)
  • Efficiency Evaluation of Cyber Security Based on EBM-DEA Model (Nguyen et al., 2022)
  • An Overview of the Present and Future of User Authentication (Al Kabir & Elmedany, 2022)
  • Cybersecurity Enterprises Policies: A Comparative Study (Mishra et al., 2022)
  • The Rise of Ransomware: A Review of Attacks, Detection Techniques, and Future Challenges (Kamil et al., 2022)
  • On the scale of Cyberspace and Cybersecurity (Pathan, 2022)
  • Analysis of techniques and attacking pattern in cyber security approach (Sharma et al., 2022)
  • Impact of Artificial Intelligence on Information Security in Business (Alawadhi et al., 2022)
  • Deployment of Artificial Intelligence with Bootstrapped Meta-Learning in Cyber Security (Sasikala & Sharma, 2022)
  • Optimization of Secure Coding Practices in SDLC as Part of Cybersecurity Framework (Jakimoski et al., 2022)
  • CySSS ’22: 1st International Workshop on Cybersecurity and Social Sciences (Chan-Tin & Kennison, 2022)

As you can see, these research topics are a lot more focused than the generic topic ideas we presented earlier. So, for you to develop a high-quality research topic, you’ll need to get specific and laser-focused on a specific context with specific variables of interest.  In the video below, we explore some other important things you’ll need to consider when crafting your research topic.

Get 1-On-1 Help

If you’re still unsure about how to find a quality research topic, check out our Research Topic Kickstarter service, which is the perfect starting point for developing a unique, well-justified research topic.

Research Topic Kickstarter - Need Help Finding A Research Topic?

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105 Latest Cyber Security Research Topics in 2024

Home Blog Security 105 Latest Cyber Security Research Topics in 2024

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The concept of cybersecurity refers to cracking the security mechanisms that break in dynamic environments. Implementing Cyber Security Project topics and cybersecurity thesis topics helps overcome attacks and take mitigation approaches to security risks and threats in real-time. Undoubtedly, it focuses on events injected into the system, data, and the whole network to attack/disturb it.

The network can be attacked in various ways, including Distributed DoS, Knowledge Disruptions, Computer Viruses / Worms, and many more. Cyber-attacks are still rising, and more are waiting to harm their targeted systems and networks. Detecting Intrusions in cybersecurity has become challenging due to their Intelligence Performance. Therefore, it may negatively affect data integrity, privacy, availability, and security. 

This article aims to demonstrate the most current Cyber Security Research Topics for Projects and areas of research currently lacking. We will talk about cyber security research questions, cyber security topics for the project, latest research titles about cyber security.

List of Trending Cyber Security Research Topics in 2024

Digital technology has revolutionized how all businesses, large or small, work, and even governments manage their day-to-day activities, requiring organizations, corporations, and government agencies to utilize computerized systems. To protect data against online attacks or unauthorized access, cybersecurity is a priority. There are many Cyber Security Courses online where you can learn about these topics. With the rapid development of technology comes an equally rapid shift in Cyber Security Research Topics and cybersecurity trends, as data breaches, ransomware, and hacks become almost routine news items. In 2024, these will be the top cybersecurity trends .

A. Exciting Mobile Cyber Security Research Paper Topics

  • The significance of continuous user authentication on mobile gadgets. 
  • The efficacy of different mobile security approaches. 
  • Detecting mobile phone hacking. 
  • Assessing the threat of using portable devices to access banking services. 
  • Cybersecurity and mobile applications. 
  • The vulnerabilities in wireless mobile data exchange. 
  • The rise of mobile malware. 
  • The evolution of Android malware.
  • How to know you’ve been hacked on mobile. 
  • The impact of mobile gadgets on cybersecurity. 

B. Top Computer and Software Security Topics to Research

  • Learn algorithms for data encryption 
  • Concept of risk management security 
  • How to develop the best Internet security software 
  • What are Encrypting Viruses- How does it work? 
  • How does a Ransomware attack work? 
  • Scanning of malware on your PC 
  • Infiltrating a Mac OS X operating system 
  • What are the effects of RSA on network security ? 
  • How do encrypting viruses work?
  • DDoS attacks on IoT devices

C. Trending Information Security Research Topics

  • Why should people avoid sharing their details on Facebook? 
  • What is the importance of unified user profiles? 
  • Discuss Cookies and Privacy  
  • White hat and black hat hackers 
  • What are the most secure methods for ensuring data integrity? 
  • Talk about the implications of Wi-Fi hacking apps on mobile phones 
  • Analyze the data breaches in 2024
  • Discuss digital piracy in 2024
  • critical cyber-attack concepts 
  • Social engineering and its importance 

D. Current Network Security Research Topics

  • Data storage centralization
  • Identify Malicious activity on a computer system. 
  • Firewall 
  • Importance of keeping updated Software  
  • wireless sensor network 
  • What are the effects of ad-hoc networks
  • How can a company network be safe? 
  • What are Network segmentation and its applications? 
  • Discuss Data Loss Prevention systems  
  • Discuss various methods for establishing secure algorithms in a network. 
  • Talk about two-factor authentication

E. Best Data Security Research Topics

  • Importance of backup and recovery 
  • Benefits of logging for applications 
  • Understand physical data security 
  • Importance of Cloud Security 
  • In computing, the relationship between privacy and data security 
  • Talk about data leaks in mobile apps 
  • Discuss the effects of a black hole on a network system. 

F. Important Application Security Research Topics

  • Detect Malicious Activity on Google Play Apps 
  • Dangers of XSS attacks on apps 
  • Discuss SQL injection attacks. 
  • Insecure Deserialization Effect 
  • Check Security protocols 

G. Cybersecurity Law & Ethics Research Topics

  • Strict cybersecurity laws in China 
  • Importance of the Cybersecurity Information Sharing Act. 
  • USA, UK, and other countries' cybersecurity laws  
  • Discuss The Pipeline Security Act in the United States 

H. Recent Cyberbullying Topics

  • Protecting your Online Identity and Reputation 
  • Online Safety 
  • Sexual Harassment and Sexual Bullying 
  • Dealing with Bullying 
  • Stress Center for Teens 

I. Operational Security Topics

  • Identify sensitive data 
  • Identify possible threats 
  • Analyze security threats and vulnerabilities 
  • Appraise the threat level and vulnerability risk 
  • Devise a plan to mitigate the threats 

J. Cybercrime Topics for a Research Paper

  • Crime Prevention. 
  • Criminal Specialization. 
  • Drug Courts. 
  • Criminal Courts. 
  • Criminal Justice Ethics. 
  • Capital Punishment.
  • Community Corrections. 
  • Criminal Law.

Cyber Security Future Research Topics

  • Developing more effective methods for detecting and responding to cyber attacks
  • Investigating the role of social media in cyber security
  • Examining the impact of cloud computing on cyber security
  • Investigating the security implications of the Internet of Things
  • Studying the effectiveness of current cyber security measures
  • Identifying new cyber security threats and vulnerabilities
  • Developing more effective cyber security policies
  • Examining the ethical implications of cyber security

Cyber Security Topics For Research Paper

  • Cyber security threats and vulnerabilities
  • Cyber security incident response and management
  • Cyber security risk management
  • Cyber security awareness and training
  • Cyber security controls and countermeasures
  • Cyber security governance
  • Cyber security standards
  • Cyber security insurance

Top 5 Current Research Topics in Cybersecurity

Below are the latest 5 cybersecurity research topics. They are:

  • Artificial Intelligence
  • Digital Supply Chains
  • Internet of Things
  • State-Sponsored Attacks
  • Working From Home

Research Area in Cyber Security

The field of cyber security is extensive and constantly evolving. Its research covers a wide range of subjects, including: 

  • Quantum & Space  
  • Data Privacy  
  • Criminology & Law 
  • AI & IoT Security
  • RFID Security
  • Authorization Infrastructure
  • Digital Forensics
  • Autonomous Security
  • Social Influence on Social Networks

How to Choose the Best Research Topics in Cyber Security?

A good cybersecurity assignment heading is a skill that not everyone has, and unfortunately, not everyone has one. You might have your teacher provide you with the topics, or you might be asked to come up with your own. If you want more cyber security research topics, you can take references from Certified Ethical Hacker Certification, where you will get more hints on new topics. If you don't know where to start, here are some tips. Follow them to create compelling cybersecurity assignment topics. 

1. Brainstorm

In order to select the most appropriate heading for your cybersecurity assignment, you first need to brainstorm ideas. What specific matter do you wish to explore? In this case, come up with relevant topics about the subject and select those relevant to your issue when you use our list of topics. You can also go to cyber security-oriented websites to get some ideas. Using any blog post on the internet can prove helpful if you intend to write a research paper on security threats in 2024. Creating a brainstorming list with all the keywords and cybersecurity concepts you wish to discuss is another great way to start. Once that's done, pick the topics you feel most comfortable handling. Keep in mind to stay away from common topics as much as possible. 

2. Understanding the Background

In order to write a cybersecurity assignment, you need to identify two or three research paper topics. Obtain the necessary resources and review them to gain background information on your heading. This will also allow you to learn new terminologies that can be used in your title to enhance it. 

3. Write a Single Topic

Make sure the subject of your cybersecurity research paper doesn't fall into either extreme. Make sure the title is neither too narrow nor too broad. Topics on either extreme will be challenging to research and write about. 

4. Be Flexible

There is no rule to say that the title you choose is permanent. It is perfectly okay to change your research paper topic along the way. For example, if you find another topic on this list to better suit your research paper, consider swapping it out. 

The Layout of Cybersecurity Research Guidance

It is undeniable that usability is one of cybersecurity's most important social issues today. Increasingly, security features have become standard components of our digital environment, which pervade our lives and require both novices and experts to use them. Supported by confidentiality, integrity, and availability concerns, security features have become essential components of our digital environment.  

In order to make security features easily accessible to a wider population, these functions need to be highly usable. This is especially true in this context because poor usability typically translates into the inadequate application of cybersecurity tools and functionality, resulting in their limited effectiveness. 

Cyber Security Research Topic Writing Tips from Expert

Additionally, a well-planned action plan and a set of useful tools are essential for delving into Cyber Security research topics. Not only do these topics present a vast realm of knowledge and potential innovation, but they also have paramount importance in today's digital age. Addressing the challenges and nuances of these research areas will contribute significantly to the global cybersecurity landscape, ensuring safer digital environments for all. It's crucial to approach these topics with diligence and an open mind to uncover groundbreaking insights.

  • Before you begin writing your research paper, make sure you understand the assignment. 
  • Your Research Paper Should Have an Engaging Topic 
  • Find reputable sources by doing a little research 
  • Precisely state your thesis on cybersecurity 
  • A rough outline should be developed 
  • Finish your paper by writing a draft 
  • Make sure that your bibliography is formatted correctly and cites your sources. 
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Studies in the literature have identified and recommended guidelines and recommendations for addressing security usability problems to provide highly usable security. The purpose of such papers is to consolidate existing design guidelines and define an initial core list that can be used for future reference in the field of Cyber Security Research Topics.

The researcher takes advantage of the opportunity to provide an up-to-date analysis of cybersecurity usability issues and evaluation techniques applied so far. As a result of this research paper, researchers and practitioners interested in cybersecurity systems who value human and social design elements are likely to find it useful. You can find KnowledgeHut’s Cyber Security courses online and take maximum advantage of them.

Frequently Asked Questions (FAQs)

Businesses and individuals are changing how they handle cybersecurity as technology changes rapidly - from cloud-based services to new IoT devices. 

Ideally, you should have read many papers and know their structure, what information they contain, and so on if you want to write something of interest to others. 

Inmates having the right to work, transportation of concealed weapons, rape and violence in prison, verdicts on plea agreements, rehab versus reform, and how reliable are eyewitnesses? 

The field of cyber security is extensive and constantly evolving. Its research covers various subjects, including Quantum & Space, Data Privacy, Criminology & Law, and AI & IoT Security. 

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List of 78 Top Cyber Security Topics for Research

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Table of contents

  • 1 How To Choose The Best Cyber Security Research Topics
  • 2 10 Cyber Security Topics For Research Paper
  • 3 Mobile Cyber Security Research Paper Topics
  • 4 Top 10 Cyber Security Topics
  • 5 ‍ Cyber Security Research Topics 2023
  • 6 Best Cyber Security Research Topics
  • 7 ‍ Cyber Security Future Research Topics
  • 8 Cyber Security Topics For Research Paper
  • 9 ‍ Cyber Security Topics on Computer and Software

There are many reasons to choose cyber security research topics for writing purposes. First, cyber security is a growing field, with many new and exciting developments happening all the time. This makes it an ideal topic to write about, as there is always something new to learn and discuss. Second, cyber security research can be used to improve the security of your own computer systems. By understanding the latest threats and vulnerabilities, you can make your systems more secure and less likely to be compromised. Third, writing about cyber security can help raise awareness about the importance of cyber security. By educating others about the dangers of cyber attacks and the importance of protecting their computers, you can help make the internet a safer place for everyone.

How To Choose The Best Cyber Security Research Topics

When it comes to choosing research paper topics on cyber security, there are a few things to consider. First, it is important to make sure that the topic is relevant and timely. Cyber security is an ever-changing field, so it is important to choose a topic that will be relevant for years to come. Second, it is important to choose a topic that is interesting and engaging. Cybersecurity can be a dry topic, so it is important to choose a topic that will keep readers engaged. Finally, it is important to choose a topic that is researchable. There are a lot of cyber security topics out there, but not all of them are easy to research. Make sure to choose a topic that has plenty of information available.

  • Identify your audience.
  • Define your research goals.
  • Choose a topic that is both interesting and relevant to your audience.
  • Do some preliminary research to make sure there is enough information available on your chosen topic.
  • Make sure your topic is narrow enough to be covered in a single research paper.

10 Cyber Security Topics For Research Paper

  • The Importance of Cyber Security
  • The Evolution of Cyber Security
  • The Future of Cyber Security
  • The Impact of Cyber Security on Business
  • The Role of Cyber Security in National Security
  • The Challenges of Cyber Security
  • The Costs of Cyber Security
  • The Benefits of Cyber Security
  • The Risks of Cyber Security
  • The Implications of Cyber Security

Mobile Cyber Security Research Paper Topics

  • Mobile device security: How to protect your mobile device from cyber attacks.
  • The rise of mobile malware: How to protect your device from malicious software.
  • Mobile phishing attacks: How to protect your device from being scammed.
  • The dangers of public Wi-Fi: How to protect your device from being hacked.
  • How to keep your data safe on your mobile device: Tips for keeping your personal information secure.

Top 10 Cyber Security Topics

  • Cybersecurity threats and attacks
  • Cybersecurity risks and vulnerabilities
  • Cybersecurity best practices
  • Cybersecurity awareness and training
  • Cybersecurity tools and technologies
  • Cybersecurity policy and compliance
  • Cybersecurity incident response
  • Cybersecurity governance
  • Cybersecurity risk management
  • Cybersecurity strategy

‍ Cyber Security Research Topics 2023

  • The future of cyber security: what trends will shape the field in the coming years?
  • The impact of AI and machine learning on cyber security
  • The role of quantum computing in cyber security
  • The challenges of securing the IoT
  • The evolving threat landscape: what new threats are emerging and how can we defend against them?
  • The role of data in cyber security: how can we better protect our data?
  • The importance of user education in cyber security
  • The challenges of securing mobile devices
  • The future of cyber warfare: what trends are emerging?
  • The role of cryptography in cyber security

Best Cyber Security Research Topics

  • The Impact of Cybersecurity on Businesses and Consumers
  • The Evolution of Cybersecurity Threats and Attacks
  • The Role of Cybersecurity in National Security
  • The Economics of Cybersecurity
  • The Psychology of Cybersecurity
  • The Sociology of Cybersecurity
  • The Ethics of Cybersecurity
  • The History of Cybersecurity
  • Cybersecurity threats and attacks.
  • Cybersecurity policies and procedures.
  • Cybersecurity awareness and training.
  • Cybersecurity technologies and solutions.
  • Cybersecurity risk management.
  • Cybersecurity incident response.
  • Cybersecurity governance.
  • Cybersecurity compliance.
  • Cybersecurity standards.
  • Cybersecurity best practices.

‍ Cyber Security Future Research Topics

  • Developing more effective methods for detecting and responding to cyber attacks
  • Investigating the role of social media in cyber security
  • Examining the impact of cloud computing on cyber security
  • Investigating the security implications of the Internet of Things
  • Studying the effectiveness of current cyber security measures
  • Identifying new cyber security threats and vulnerabilities
  • Developing more effective cyber security policies
  • Examining the ethical implications of cyber security

Cyber Security Topics For Research Paper

  • Cyber security threats and vulnerabilities.
  • Cyber security incident response and management.
  • Cyber security risk management.
  • Cyber security awareness and training.
  • Cyber security controls and countermeasures.
  • Cyber security governance.
  • Cyber security standards.
  • Cyber security insurance.
  • Cyber security and the law.
  • The future of cyber security.

‍ Cyber Security Topics on Computer and Software

  • Cyber security risks associated with computer software
  • The importance of keeping computer software up to date
  • How to protect your computer from malware and other threats
  • The best practices for securing your computer and software
  • The different types of cyber security threats and how to avoid them
  • The importance of cyber security awareness and education
  • The role of cyber security in protecting critical infrastructure

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cyber security dissertation topics 2021

283 Hottest Cybersecurity Research Topics & Questions [2024]

Your computer stores your memories, contacts, and study-related materials. It’s probably one of your most valuable items. But how often do you think about its safety?

Cyber security is something that can help you with this. Simply put, it prevents digital attacks so that no one can access your data. Do you want to write a research paper related to the modern challenges of cyberspace? This article has all you need. In here, you’ll find:

  • An overview of cyber security’s research areas.
  • A selection of compelling cyber security research topics.

And don’t hesitate to contact our custom writing team in case you need any assistance!

  • 🔝 Top 10 Topics
  • ✅ Research Areas
  • ⭐ Top 10 Cybersecurity Topics
  • 🔒 Technology Security Topics
  • đŸ–„ïž Cybercrime Topics
  • ⚖ Cyber Law & Ethics Topics
  • đŸ‘šâ€đŸ’» Thesis Topics
  • 🎓 Research Paper Topics
  • đŸ’œ Topics for Presentation
  • ❓ Research Questions
  • 💡 Debate Topics
  • ✹ Interesting Topics

🔍 References

🔝 top 10 cyber security research topics.

  • How does malware work?
  • The principle of zero trust access
  • 3 phases of application security
  • Should removable media be encrypted?
  • The importance of network security
  • The importance of end-user education
  • Cloud security posture management
  • Do biometrics ensure security of IPhones?
  • Can strong passwords protect information?
  • Is security in critical infrastructure important?

✅ Cyber Security Topics & Research Areas

Cyber security is a vast, constantly evolving field. Its research takes place in many areas. Among them are:

The picture shows the main research areas in cyber security: topics in quantum and space, data privacy, criminology and law, AI and IoT security.

  • Safe quantum and space communications . Progress in quantum technologies and space travel calls for extra layers of protection.
  • Data privacy. If someone’s personal information falls into the wrong hands, the consequences can be dire. That’s why research in this area focuses on encryption techniques.
  • (Inter)national cyberethics, criminology, and law. This branch analyzes how international legal frameworks work online.
  • AI and IoT security . We spend more and more of our daily lives online. Additionally, our reliance on AI increases. This scientific field strives to ensure a safe continuation of this path.

As you can see, cyber security extends in various exciting directions that you can explore. Naturally, every paper needs a cover page. We know that it’s one of the more annoying parts, so it’s not a bad thing to use a title page generator for your research paper . Now, let’s move on to our cyber topics list.

⭐ Top 10 Cybersecurity Topics 2024

  • Is removable media a threat?
  • Blockchain security vulnerabilities
  • Why should you avoid public Wi-Fi?
  • How to prevent phishing attacks
  • Physical security measures in banks
  • Security breaches of remote working
  • How does two-factor authentication work?
  • How to prevent social engineering attacks
  • Cybersecurity standards for automotive
  • Privacy settings of social media accounts

🔒 Computer Security Topics to Research

Safe computer and network usage is crucial. It concerns not only business but also individuals. Security programs and systems ensure this protection. Explore them with one of our topics:

  • How do companies avoid sending out confidential information? Sending an email to the wrong person has happened to the best of us. But what happens if the message’s contents were classified? For your paper, you can find out what technologies can prevent such slip-ups.
  • What are the best ways to detect malicious activity? Any organization’s website gets plenty of daily traffic. People log in, browse, and interact with each other. Among all of them, it might be easy for an intruder to slip in.
  • Internet censorship: classified information leaks. China takes internet censorship to the next level. Its comprehensive protection policies gave the system the nickname Great Firewall of China . Discuss this technology in your essay.
  • Encrypted viruses as the plague of the century. Antivirus programs are installed on almost every computer. They prevent malicious code from tampering with your data. In your paper, you can conduct a comparison of several such programs.
  • What are the pros and cons of various cryptographic methods? Data privacy is becoming more and more critical. That’s why leading messaging services frequently advertise with their encryption technologies.
  • What makes blockchain secure? This technique allows anonymity and decentralization when working with cryptocurrencies. How does it work? What risks are associated with it?
  • What are the advantages of SIEM? Security Incident and Event Management helps organizations detect and handle security threats. Your essay can focus on its relevance for businesses.
  • What are the signs of phishing attempts?
  • Discuss unified cyber security standards in healthcare.
  • Compare and contrast various forms of data extraction techniques.
  • What do computers need protocols for?
  • Debate the significance of frequent system updates for data security.
  • What methods does HTTPS use that make it more secure than HTTP?
  • The role of prime numbers in cryptography.
  • What are public key certificates, and why are they useful?
  • What does a VPN do?
  • Are wireless internet connections less secure than LAN ones? If so, why?
  • How do authentication processes work?
  • What can you do with IP addresses?
  • Explain the technology of unlocking your phone via facial recognition vs. your fingerprint.
  • How do you prevent intrusion attempts in networks?
  • What makes Telnet vulnerable?
  • What are the phases of a Trojan horse attack?
  • Compare the encryption technologies of various social networks.
  • Asymmetric vs. symmetric algorithms.
  • How can a person reach maximum security in the computer networking world ?
  • Discuss autoencoders and reveal how they work.

đŸ’Ÿ Information Security Topics to Research

Information security’s goal is to protect the transmission and storage of data. On top of that, network security topics are at the forefront of infosec research. If you’re looking for inspiration on the subject, check out these ideas.

  • What are the mechanics of password protection? Passwords are a simple tool to ensure confidentiality. What do users and developers need to keep in mind when handling passwords?
  • What are the safest ways to ensure data integrity ? Everybody wants their data to be intact. Accidental or malicious modifications of data can have dire consequences for organizations and individuals. Explore ways to avoid it.
  • How can one establish non-repudiation? Non-repudiation proves the validity of your data. It’s essential in legal cases and cyber security.
  • How did the advent of these new technologies impact information security ? Mobile networks have changed the way we access information. On a smartphone , everything is permanently available at your fingertips. What adverse consequences did these technologies bring?
  • How do big corporations ensure that their database environment stays conflict-free? We expect our computers to always run fast and without errors. For institutions such as hospitals, a smooth workflow is vital. Discuss how it can be achieved.
  • Describe solid access control methods for organizations. In a company, employees need access to different things. This means that not everyone should have an admin account. How should we control access to information?
  • Medical device cyber security. For maximum safety, it’s best to employ several measures. Protection on the hard- and software side is just a part of it. What are some other means of security?
  • Write an argumentative essay on why a career in information security doesn’t require a degree.
  • Pros and cons of various infosec certificates.
  • Cybersecurity in cruise ship industry
  • The influence of remote work on a businesses’ infosec network .
  • What should everyone be aware of when it comes to safeguarding private information?
  • Select a company and calculate how much budget they should allocate on cyber security.
  • What are the dangers of public Wi-Fi networks?
  • How secure are cloud services?
  • Apple vs. Microsoft : whose systems offer better security?
  • Why is it important to remove a USB flash drive safely?
  • Is it possible to create an unguessable password?
  • Intranet security: best practices.
  • Does the use of biometrics increase security?
  • Face recognition vs. a simple code: what are the safest locking options for smartphones ?
  • How do you recover data from a broken hard drive?
  • Discuss the functions and risks of cookies and cache files.
  • Online privacy regulations in the US and China.
  • Physical components of InfoSec.
  • Debate security concerns regarding electronic health records .
  • What are unified user profiles, and what makes them potentially risky?

đŸ–„ïž Cybercrime Topics for a Research Paper

Knowledge is one of today’s most valuable assets. Because of this, cybercrimes usually target the extraction of information. This practice can have devastating effects. Do you want to learn more about the virtual world’s dark side? This section is for you.

  • Give an overview of the various types of cybercrimes today . Cybercriminals are becoming more and more inventive. It’s not easy to keep up with the new threats appearing every day. What threats are currently the most prominent?
  • How does cryptojacking work, and why is it problematic? Cryptocurrency’s value explosion has made people greedy. Countries such as Iceland have become a haven for datamining. Explore these issues in your essay.
  • Analyze the success rate of email frauds. You’ve probably seen irrelevant ads in your spam folder before. They often sound so silly it’s hard to believe they work. Yet, unfortunately, many people become victims of such scams.
  • How did the WannaCry malware work? WannaCry was ransomware that caused global trouble in 2017. It led to financial losses in the billions. What made it so dangerous and hard to stop?
  • Give famous examples of cybercrimes that targeted people instead of money. Not all cybercrimes want to generate profit. Sometimes, the reasons are political or personal. Explore several instances of such crimes in your essay. How did they pan out?

The picture shows how cybercrimes can be classified into four groups: crimes against individuals, property, and governments.

  • Analyze the implications of the Cyberpunk 2077 leak. The game’s bugs and issues made many people angry. Shortly after its flop, hackers released developer CD Projekt Red’s source codes. What far-reaching consequences could this have?
  • Why do hackers commit identity theft? Social media has made it easy to steal identities. Many like to display their lives online. In your paper, research what happens to the victims of identity thefts.
  • Should governments punish cybercrimes like real-life crimes?
  • How does ransomware work?
  • Describe the phases of a DDoS attack.
  • What cybercrime cases led to changes in the legislature?
  • Track the evolution of online scams.
  • Online grooming: how to protect children from predators.
  • Are cybercrimes “gateway crimes” that lead to real-life misbehavior?
  • What are man-in-the-middle attacks?
  • Big data and the rise of internet crimes.
  • Are cybercrimes more dangerous to society than they are to corporations?
  • Is the internet increasing the likelihood of adolescents engaging in illegal activities?
  • Do the downsides of cyberlife outweigh its positives?
  • Is constantly checking your crush’s Facebook page cyberstalking?
  • How do you recognize your online date is a scam?
  • Describe what happens during a Brute Force attack.
  • What’s the difference between pharming and phishing?
  • The Lehman Bank cybercrimes.
  • Should the punishments for cybercriminals be harsher than they are now?
  • Compare various types of fraud methods .
  • How do you mitigate a denial-of-service attack?

đŸ•”ïž Topics for a Research Paper on Hacking

Blinking screens and flashing lines of code: the movie industry makes hacking look fascinating. But what actually happens when someone breaks into another person’s computer’s system? Write a paper about it and find out! The following prompts allow you to dive deeper into the subject.

  • Is it vital to keep shutting down online movie streaming sites? Many websites offer free movie streaming. If one of their domains gets closed down, they just open another one. Are they a threat to the industry that must be stopped? Or should cyber law enforcement rather focus on more serious crimes?
  • Explore the ethical side of whistleblowing. WikiLeaks is a platform for whistleblowers. Its founder, Julian Assange, has been under arrest for a long time. Should whistleblowing be a crime? Why or why not?
  • How did Kevin Mitnick’s actions contribute to the American cyber legislature? Mitnick was one of the US’s first most notorious hackers. He claimed to have broken into NORAD’s system. What were the consequences?
  • Examine how GhostNet operates. GhostNet is a large organization attacking governments. Its discovery in 2009 led to a major scandal.
  • Describe how an SQL injection attack unfolds. Injection attacks target SQL databases and libraries. This way, hackers gain unauthorized access to data.
  • What political consequences did the attack on The Interview imply? In 2014, hackers threatened to attack theaters that showed The Interview . As a result, Sony only showed the movie online and in limited releases.
  • Write about cross-site request forgery attacks. Every website tells you that logging out is a crucial step. But what can happen if you don’t do it?
  • What is “Anonymous,” and what do they do?
  • Is it permissible to hack a system to raise awareness of its vulnerabilities?
  • Investigate the origins of the hacking culture.
  • How did industrial espionage evolve into hacking?
  • Is piracy destroying the music and movie industries ?
  • Explain the term “cyberwarfare.”
  • Contrast different types of hacking.
  • Connections between political protests and hacking.
  • Is it possible to create an encryption that can’t be hacked?
  • The role of hackers in modern warfare .
  • Can hacking be ethical?
  • Who or what are white hat hackers?
  • Discuss what various types of hackers do.
  • Is jailbreaking a crime?
  • How does hacking a phone differ from hacking a computer?
  • Is hacking your personal home devices problematic?
  • What is clickjacking?
  • Why would hackers target newspapers?
  • Examine the consequences society would have to bear if a hacker targeted the state.
  • Compare and analyze different hacking collectives.

⚖ Topics on Cyber Law & Ethics to Look Into

Virtual life needs rules just like the real one does. The online world brings a different set of values and issues to the table. And, naturally, cyberlife has a legal framework. That’s where researching cyber law and ethics comes into play.

  • Is it ethical that governments can always access their citizens’ data? In some countries, online platforms for personal information are standard. From medical exams to debts, everything is available with a click. The system is inarguably convenient. But what about its downsides?
  • Is it still morally permissible to use Spotify ? Spotify has made listening to music more accessible than ever. However, artists only receive a tiny fraction of the company’s profits. Discuss the implications of this fact.
  • Should internet forums require users to display their real names? Online harassment is a widespread problem. Nicknames hide the identities of ordinary users as well as perpetrators. Can the mandatory use of real names change the situation?
  • Analyze online gaming behavior from a psychological standpoint. If one wants to play online games, one needs to have a thick skin. The community can be harsh. You can dedicate your paper to exploring these behaviors. Or you might want to ponder what game publishers can do to reduce hate speech.
  • What type of restrictions should sellers implement to prevent domain speculation? Some people buy domains hoping that they will sell them later for more money. This practice makes registering a new website trickier.
  • Does the internet need regulations to make adult content less visible? Every computer without parental control can access pornographic websites. Most of them don’t require registration. Their contents can be disturbing, and their ads can appear anywhere. What can be done about it?
  • What are cyber laws still missing in America? The US has established many laws to regulate internet usage. Select the most significant ones and explain their relevance.
  • Why should cyber ethics be different from real-world norms?
  • Are there instances in which illegal downloading is justified?
  • The rule of law in real life vs. in cyberspace.
  • Does the internet need a government?
  • What is cyber terrorism, and what makes it dangerous?
  • Who is responsible for online misbehavior?
  • How binding are netiquettes?
  • What did the implementation of the GDPR change?
  • Compare and contrast Indian vs. Venezuelan internet regulations.
  • What does the CLOUD entail?
  • How should law enforcement adapt to online technologies?
  • AI applications: ethical limits and possibilities.
  • Discuss trending topics in cyber law of the past ten years.
  • Should schools teach online etiquette?
  • Does internet anonymity bring out the worst in people?
  • Is data privacy more important than convenience and centralization?
  • Debate whether bitcoins could become the currency of the future.
  • How can online consumers protect themselves from fraud?
  • Is buying from websites like eBay and Craigslist more ethical than buying from other online marketplaces?
  • Present RSF’s Minecraft library and discuss its moral implications.

đŸ–±ïž Cyberbullying Topics for Essays and Papers

On the web, everyone can remain anonymous. With this added comfort, bullying rises to another level. It’s a serious issue that’s getting more and more problematic. Cyber security measures can alleviate the burden. Do you want to address the problem? Have a look at our cyberbullying topics below.

  • Cyberbullying prevention in online learning environments . Online classes increase the possibility of cyberbullying. What can teachers do to watch out for their students?
  • What makes online emotional abuse particularly difficult to bear? Bullying doesn’t necessarily have to be physical to hurt. Statistics show increased suicide rates among students who were harassed online. Explore the reasons behind this phenomenon.
  • How can victims of identity theft reclaim their lives? Identity theft leads not only to mental distress. Thieves also have access to credit card information and other essential assets.
  • What are the best methods to stay safe online? When surfing the internet, one always has to be on one’s toes. Avoiding harassment and bullying is a particularly challenging task.
  • How can parents monitor their children’s behavior on the web? Children are particularly vulnerable online. They might enter dangerous online relationships with strangers if they feel lonely. They are also more susceptible to scams. What can parents do to protect them?
  • Cyberbullying among university students. Online abuse in such websites is very common. Everyone can be a potential target, regardless of age or gender. Discuss whether the structure of social networks helps to spread cyberbullying.
  • What societal factors contribute to online bullying? Not everyone who uses the internet becomes an abuser. It’s possible to establish several psychological characteristics of cyberbullies. Explore them in your paper.
  • Define how cyberbullying differs from in-person harassment.
  • Establish a link between feminism and the fight against cyberstalking.
  • The emotional consequences of physical vs. verbal abuse.
  • The effects of cyberbullying and academics.
  • Short vs. long-term mental health effects of internet bullying .
  • What are the most widespread means of cyberbullying?
  • Should people who want to play video games online get over the fact that the community is toxic?
  • Is defending the freedom of speech more important than preventing the spread of hate speech?
  • Reasons and consequences of Amanda Todd’s suicide.
  • The dangers of pro-ana/-mia communities for adolescents.
  • What are effective strategies to cope with online harassment ?
  • Would cyber communism decrease bullying?
  • How enhanced cyber security measures can help reduce abuse.
  • The importance of parental control mechanisms on children’s computers.
  • Traditional vs. cyberbullying in children.
  • Do image-heavy websites such as Tumblr and Instagram affect one’s mental state similarly to active abuse?
  • What kind of people does cyber abuse affect the most, and why?
  • Analyze how the stalker uses the internet in Netflix’s series You .
  • Catfishing: effects and solutions.

đŸ‘šâ€đŸ’» Cyber Security Thesis Topics

  • Analysis of ethical hacking. Analyze ethical hacking, its key features, and types. Research real-world cases of ethical hacking along with the legal and ethical issues surrounding it.
  • Redefining privacy in the age of cloud reliance. Since more and more people are relying on cloud services for communication and storing information, concerns about data privacy grow. Examine potential regulations and societal changes required to balance privacy and convenience.
  • Privacy concerns across key industries. Discuss the implications for personal privacy in sectors like healthcare, finance, and law enforcement. Dwell on the new methods used to bypass biometric authentication systems, such as facial recognition or fingerprint scanners.
  • The human cost of cryptocurrency breaches. Explore the economic and psychological consequences of successful attacks on the crypto market. Showcase the efforts of experts to bolster crypto security.
  • Potential impact of law enforcement and tech cooperation on cyberattacks. Propose a scenario for a global collaboration between law enforcement agencies and tech companies to track cybercriminals. Analyze the feasibility, logistical challenges, and potential impact of such collaboration.
  • The issue of employing weak protocols for encryption.
  • Flexible and adaptive electronics and their role in cybersecurity.
  • The use of penetration testing in mitigating cyber threats.
  • Analyze emerging attacks in the cybersecurity field.
  • Risk assessment in cyber-physical systems.
  • The ethical side of popular cybersecurity measures.
  • Cybersecurity in educational institutions and its characteristics.
  • Study the use of smart wearable sensors for protecting user data and ensuring device integrity.
  • The laws and regulations of mobile cybersecurity.
  • Cybersecurity challenges in the medical industry: protection strategies.
  • Suggest possible solutions to digital payment information theft.
  • Inefficient data sharing techniques and their consequences.

🎓 Cyber Security Research Paper Topics 

  • The impact of quantum technologies on cybersecurity. Analyze how the development of quantum technologies could affect the cybersecurity industry. Investigate the possible risks and opportunities.
  • Cybersecurity evolution: trends shaping our digital future. In your research paper, discuss the latest trends in the cybersecurity field. Focus on their potential impact on individuals, organizations, and society.
  • The security vulnerabilities of IoT. Investigate common security flaws in IoT devices and potential attack vectors. Consider the consequences of using weak passwords and insecure communication protocols.
  • Humans and AI as partners in cyber defense. Dwell on the future of human-AI partnership in cybersecurity and the skills required for this collaboration. Discuss potential discrimination risks in AI-driven security systems.
  • Personal consequences of cyberattacks. Research how cyberattacks can affect people. Consequences can include financial loss to identity theft and even physical harm. We recommend selecting a specific attack type and clarifying its personal consequences.
  • The most effective countermeasures against cyberattacks.
  • Network traffic analysis and its role in cyber security.
  • Basic procedures for computer forensics and investigations.
  • The effectiveness of international cooperation in combating cyber threats.
  • Cybersecurity in the field of public administration.
  • The nature and dangers of cyber terrorism.
  • Anti-phishing technologies and their role in email security.
  • The use of machine learning to detect and prevent cyberattacks.
  • Ways of optimizing cyber risk management by addressing human vulnerabilities.
  • The role of cybersecurity in ensuring industrial safety.
  • Wireless hacking techniques and possible ways to counter them.
  • The role of blockchain in future wireless mobile networks

đŸ’œ Cyber Security Topics for Presentation

  • Ethical dilemmas in the digital age. In your presentation, illustrate the potential challenges and ethical considerations associated with cybersecurity. Provide examples of how these technologies can protect against new types of attacks.
  • The psychological effects of using the dark web. Show the psychological impact of using the dark web. You can analyze its potential to manipulate, exploit, or offer refuge and support. Find real-life examples to explain how extremist groups and criminal organizations use the dark web to radicalize and recruit vulnerable individuals.
  • The role of encryption in protecting information and IoT. Study the fundamental principles of encryption and their role in securing digital information. Discuss how encryption contributes to the security of IoT devices and networks.
  • The evolving role of firewalls in cybersecurity. Review the key trends in the evolution of firewall technology and explain how it has adapted to address cyber threats. Highlight the impact of firewalls on cybersecurity for individuals, businesses, and critical infrastructure.
  • Measure the cost of cyberattacks across borders. Compare different countries, and industries affected by cyberattacks. Quantify the cost of cybercrime, including stolen funds, business disruption, and downtime.
  • The structure of the dark web and its key characteristics.
  • Strategies for safe use of public Wi-Fi networks.
  • The impact of cybercrime on the economy.
  • Popular antivirus programs and their effectiveness in protecting computer systems.
  • Trace the development of standards and certifications in the field of cybersecurity.
  • Ways of combating fake news and disinformation in cyberspace.
  • The effective methods of generating strong passwords.
  • Strategies to combat cybercrime in business.
  • Cybersecurity professions and their challenges.
  • Evaluate the effectiveness of two-factor authentication in account protection.
  • Cybersecurity trends: new information protection technologies.
  • Principles and types of encryption algorithms in cryptography.

❓ Cyber Security Research Questions

  • How can we optimize cybersecurity in schools? Investigate the main factors influencing the effectiveness of cybersecurity in the educational field. Provide actionable tips to protect personal information within the school environment.
  • What are the most promising and cost-effective methods to prevent attacks on critical infrastructure? Research innovative methods that prevent attacks on critical infrastructure and ensure its security. Examine the aspects of implementing these innovative methods, including cost and infrastructure compatibility.
  • What are the key risks associated with cloud-based platforms in supply chain management? Analyze the risks associated with cloud-based platforms in supply chain management. Then, propose effective security measures for data protection.
  • Do legal frameworks adequately address the complexities of state-sponsored cyberattacks? Compare and contrast the legal frameworks surrounding state-sponsored cyberattacks across different countries. Explore the potential for escalation of state-sponsored cyberattacks into armed conflict.
  • What are the best practices for secure mobile data exchange on public Wi-Fi? Evaluate the risks associated with public Wi-Fi networks and review the best practices for secure mobile data exchange in these environments. Investigate the role of mobile network operators and device manufacturers in ensuring the security of mobile data exchange.
  • How can we ensure security when working with cloud data storage?
  • What is the value of continuous user authentication on mobile devices?
  • What are the effects of RSA on network security?
  • How can we ensure the responsible use of AI in cybersecurity?
  • How does using cyberattacks in armed conflicts complicate international norms and legal frameworks?
  • What are the benefits of application logging?
  • What are the most effective methods for companies to guarantee data security with a remote workforce?
  • How can we effectively ensure cybersecurity in the IoT?
  • What are the most secure methods of maintaining data integrity?
  • What are the best practices for mitigating cyber risks in digital supply chains?
  • How can blockchain technologies improve reliability and transparency in cybersecurity?
  • What trends and new threats in cyberspace should we expect in the coming years?

💡 Cyber Security Debate Topics

  • Face ID: friend or foe? Research the technical security of Face-ID, its strengths and weaknesses. Explain why you consider this technology safe or unsafe, supporting your arguments with statistics and expert opinions.
  • How should self-driving cars be regulated? Provide your view on the measures and regulations that should be implemented to ensure the cybersecurity of self-driving cars. Clarify why prioritizing passenger safety and public trust in this emerging technology is essential.
  • Unrestricted AI deployment in cybersecurity: benefits and risks. Highlight the potential advantages and disadvantages associated with unrestricted AI deployment in cybersecurity. Can this process speed up threat detection?
  • Mandatory reporting of cybersecurity incidents: pros and cons. Provide your opinion on the benefits and drawbacks of compulsory reporting to the public when a company experiences a cybersecurity incident. Support your argument with a real-life example.
  • Penalties for cybercriminals: is there room for improvement? Examine the effectiveness of current penalties for cybercriminals. Add your view on how they can be improved, considering the evolving nature of cyber threats.
  • Should hackers be helping the FBI?
  • What should be done to secure self-driving cars from cyber-attacks?
  • Should companies pay ransom to recover stolen data?
  • Should international standards be introduced in the field of cyber security?
  • Are biometric authentication methods more secure than passwords?
  • Should governments use “cyberweapons” as a preventive measure?
  • Will synthetic media impact the future of trust and identity in the digital age?
  • Should there be restrictions on the use of AI in cybersecurity?
  • Is standardized cybersecurity training necessary for all employees?
  • Should educational programs include cybersecurity training at all levels?
  • Is it ethical for the government to collect information about its citizens?
  • Should companies tell the public when they get hacked?

✹ Interesting Topics in Cyber Security

  • Security challenges in immersive virtual worlds. Analyze the unique security challenges posed by such environments. Consider technical vulnerabilities and potential social engineering exploits within them.
  • Email threats in large companies. Discuss the challenges of identifying and mitigating email-based threats in large organizations. Propose innovative solutions for securing email communication and educating users about email safety.
  • Deepfake technology in cyberattacks. Explore the evolving capabilities of deepfake technology and its potential future applications in cyberattacks. Additionally, discuss the challenges of detecting and mitigating deepfakes.
  • Strong privacy practices in famous companies. Choose a well-known company that has successfully implemented strong privacy practices. Analyze its methods and explain how they can come in handy for other organizations.
  • Private sector partnerships in global cybersecurity. Investigate the role of private sector partnerships in international cybersecurity efforts. Take into account their benefits and potential conflicts of interest.
  • Email attacks and their characteristics.
  • Study the issue of cybersecurity workforce shortage.
  • AI-generated images and their role in the evolution of cyber threats.
  • The importance of data privacy discipline.
  • Ways to stay safe during online video calls and conferencing.
  • The use of synthetic data in creating fake identities.
  • Cybersecurity risks of remote working.
  • Ways to protect privacy online as a business.
  • The rise of ransomware and possible solutions.
  • International cooperation in cyber security and its effectiveness.
  • Evaluate the weaknesses of cloud-based services.
  • The psychological aspects of cyberattacks.

Thanks for reading through our article. If you found it helpful, consider sharing it with your friends. We wish you good luck with your project!

Further reading:

  • 220 Best Science and Technology Essay Topics to Write About
  • 204 Research Topics on Technology & Computer Science
  • A List of 580 Interesting Research Topics [2024 Edition]
  • A List of 179 Problem Solution Essay Topics & Questions
  • 193 Interesting Proposal Essay Topics and Ideas
  • 226 Research Topics on Criminal Justice & Criminology
  • What Is Cybersecurity?: Cisco
  • Cyber Security: Research Areas: The University of Queensland, Australia
  • Cybersecurity: National Institute of Standards and Technology
  • What Is Information Security?: CSO Online
  • Articles on Cyber Ethics: The Conversation
  • What Is Cybercrime?: Kaspersky
  • Types of Cybercrime and How to Protect Yourself Against Them: Security Traits
  • Hacking: Computing: Encyclopedia Britannica
  • Hacking News: Science Daily
  • Cyberbullying and Cybersecurity: How Are They Connected?: AT&T
  • Cyberbullying: What Is It and How to Stop It: UNICEF
  • Current Awareness: Cyberlaw Decoded: Florida State University
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154 exceptional cybersecurity research topics for you.

Cybersecurity Research Topics

If you are studying computer science or IT-related course, you will encounter such a task. It is one of the most technical assignments, primarily in the era of advanced digital technologies. Students may not have the muscles to complete such papers on their own. That is why we provide expert help and ideas to make the process easier.

Do you want to excel in your cybersecurity paper? Here is your number one arsenal!

What You Need To Know About Cyber Security Research Topics

A cybersecurity paper deals with the practices of protecting servers, electronic systems, computers, and networks from malicious attacks. Although most students think this only applies to computers, it also applies to mobile computing and other business models.

There are various categories in cybersecurity, including:

Network security Application security Information security Operational security Disaster recovery and business continuity

Therefore, your cybersecurity topics for research should:

Examine the common security breaches in systems and networks Offer practical ways of protecting computers from such attacks Highlight the legal and ethical implications of hacking and other related practices Point out the challenges encountered in combating cybercrime

Since this is a technical paper, you should endeavor to do your research extensively to prevent rumors and unverified facts. The topics should also inform and educate people who are not conversant with cybersecurity in simple terms. Avoid using jargon at all costs, as this will make the paper difficult to read and understand.

Are you worried about where you can get professional cybersecurity topics and ideas? Well, here are a few of the most reliable sources that can furnish you with top-rated issues.

  • Government legislation on cybersecurity (Acts of Parliament)
  • The UN Office of Counter-Terrorism (Cybersecurity initiatives)
  • The CISCO magazine
  • Forbes also has excellent coverage on cybersecurity

You can find impressive topic ideas from these sources and more. Furthermore, news headlines and stories on cybersecurity can also help you gather many writing ideas. If all these prove futile, use our tip-top writing prompts below:

Quality Cyber Security Thesis Topics

  • Impacts of coronavirus lockdowns on cybersecurity threats in the US
  • Why ethical hacking is contributing to more harm than good
  • The role of computer specialists in combating cyber threats before they occur
  • Technological trends that are making it difficult to manage systems
  • Are passwords reliable when protecting computer systems?
  • Effects of having more than one systems administrator in a company
  • Can the government shut down the dark web once and for all?
  • Why should you bother about the security of your mobile device?
  • Evaluate reasons why using public WIFI can be harmful to your security
  • The role of cybersecurity seminars and conferences
  • How universities can produce ethical computer hackers who can help the society
  • How to counter-terrorism with advanced cybersecurity measures
  • Impacts of teaching children how to use computers at a tender age
  • Latest innovations that are a threat to cybersecurity
  • The role of monitoring in combating frequent cyber attacks
  • How social media is contributing to cyber attacks
  • Discuss the relationship between cyberbullying and cybersecurity
  • Why fingerprints may be the best method of protecting devices
  • The role of YouTube in contributing to the rising number of hackers

Top Research Topics For Cyber Security For Master Thesis

  • Impact of cyber threats on attaining the sustainable development goals
  • Why websites are becoming easy to hack in the 21 st century
  • Effects of not having an SSL certificate for a website
  • Discuss the security threats associated with WordPress websites
  • Impacts of frequent maintenance while the website is still running
  • How computer colleges can contribute to a safe cyberspace
  • Latest cyber threats to business and financial websites
  • Discuss the implications of cyber threats on privacy
  • The role of Facebook in advancing cyberbullying and hacking
  • Is hacking becoming a global epidemic in the digital world?
  • Why using Cyber Cafes may be detrimental to your digital security
  • The role of systems analysts in responding to data breaches
  • How cybersecurity movies are contributing to cyber threats
  • Should hackers face lifetime jail imprisonment when found guilty?
  • Loopholes in cyber laws that make the practice challenging to curtail

Good Thesis Topics For Cyber Security

  • The relationship between privacy and data security in computing
  • Why cloud computing offers a haven for computer hackers
  • The role of character and human-based behavior in cybersecurity
  • How to determine safe organizational security management and policy
  • How the Internet of Things is promoting cyber attacks
  • Effects of using cracked computer software
  • Are biometrics in cybersecurity able to put off hackers?
  • The role of studying mobile platform security
  • Why companies should frequently monitor their firewalls
  • The role of antimalware in curbing cyber attacks
  • Why is Ransomware a headache to most companies handling big data?
  • How does antivirus software improve the security of your computer?
  • Compare and contrast between the security of UNIX and Ubuntu
  • The role of data encryption technologies in ensuring system security
  • Is the process of encrypting viruses safe?

Top-Grade Thesis Topics For Cyber Security

  • Describe the effectiveness of cybersecurity audits on company systems
  • Is it proper to conduct device synchronization?
  • Why is it difficult to manage the security of an intranet?
  • Discuss the effects of logging in to many devices at the same time
  • Evaluate the significance of computer forensics
  • How are hackers inventing new ways of breaching the systems of companies?
  • Why it is necessary to review the data protection laws
  • Practices that increase the vulnerability of a system to cyber attacks
  • Can organizations implement impenetrable network systems?
  • Why administrators should check the background of users before giving them rights and privileges
  • The role of risk management cybersecurity
  • Discuss the impact of reverse engineering on computing systems
  • Effects of a cyber-attack on a company’s economic performance
  • What legal frameworks work best for a computer company?
  • The role of social engineering in cybersecurity

Information Security Research Topics

  • The implication of the proliferation of the internet globally
  • Innovative technologies used in keeping off hackers
  • The role of information communication technologies in maintaining the security
  • Are online courses on informative security practical?
  • Why should people avoid sharing their details on Facebook?
  • Effects of using your image on social media
  • The role of pseudo names and nicknames on social media
  • Discuss the implications of Wi-Fi hacking apps on mobile phones
  • How to detect malicious activity on a system
  • Evaluate the potential threats of conduct self-hacking on a system
  • The impact of sharing personal details with hiring agencies
  • How con artists lure unsuspecting applicants into giving out their details
  • Effects of frequent maintenance on systems
  • How to strengthen the firewall of an information system
  • The role of the media in propagating security breaches to information systems

Latest Computer Security Research Topics

  • Tricks that black hat hackers use to infiltrate company systems
  • How children learn about cybersecurity from their parents
  • The impact of watching hacking movies and TV series
  • How various companies are protecting themselves from cyber attacks
  • Why every company should have a systems security consultant
  • Discuss the implication of digital piracy
  • Threats that biometrics are bringing to digital systems
  • How to block a network intrusion before it causes any effect
  • Why MacOS is challenging to infiltrate, unlike Windows
  • Results of two-step authentication security measures for login systems
  • The role of updating computer systems during working days
  • Evaluate times of the year when hackers infiltrate systems the most
  • Why it isn’t easy to manage big data on the cloud
  • What happens during a system breakdown and maintenance?
  • Discuss the role of data synchronization in creating a backup

Network Security Research Paper Topics

  • The impact of having self-configuring and decentralized network systems
  • Effects of ad-hoc networks for large companies
  • Discuss the role of wireless sensor networks in contributing to security breaches
  • How malicious nodes join a network
  • Why it is difficult to detect a passive network attack
  • How active network attacks reduce a network’s performance
  • Evaluate the various parameters used in network security
  • Analyze how a black hole affects a network system
  • Describe techniques used in detecting malicious nodes on networks
  • How to improve the safety of a company network
  • The role of data encryption in maintaining the security of a network
  • Describe the various channels of establishing secure algorithms in a network
  • How does RSA increase the safety of a particular network?
  • Effective policies and procedures for maintaining network security
  • The role of a unique ID and Password in securing a website

Computer Security Research Topics

  • Why it is challenging to maintain endpoint security
  • The role of a critical infrastructure cybersecurity
  • How to create secure passwords for your computer network
  • The part of scanning for malware often on your PC
  • How to detect apps that invade your privacy unknowingly
  • Why ordering software from the black market is a threat to security
  • Safe computing techniques for first-time computer users
  • The role of digital literacy in preventing hacking
  • Why most online users fall to online scams
  • The role of smartphones in enhancing cybersecurity threats
  • Evaluate the mobile landscape concerning data security
  • The implication of private email accounts in data breaches
  • Sites that contain a barrel of internet criminals
  • How to develop comprehensive internet security software
  • How children can navigate the internet safely

Impressive Cyber Crime Research Topics

  • Why cyber currencies are a threat to online security
  • Why cyberbullying is rampant in the 21 st century unlike in any other time
  • The impact of online persuasion campaigns on cybersecurity
  • Why teenagers are victims of cyberbullying than adults
  • Discuss the effects of technology evolution on cybercrime
  • How online hackers collect information without the knowledge of the victim
  • Traits of a robust cybersecurity system
  • Practices that can help reduce cybercrime in institutions of higher learning.
  • Effects of global coordinated cyber attacks
  • The penalties of cyber-attack in the First Amendment
  • Why the world is experiencing increased cyber attacks
  • Critical concepts of cyber attacks
  • Cybercriminals and enterprises
  • Role of NGOs in combating cyber terrorism
  • Cyberbullying in campus

World-Class Cyber Security Thesis Ideas

  • Effects of the cyber-attack on Sony in 2014
  • The role of globalization in enhancing cybersecurity
  • How to prevent automotive software from malicious cyber attacks
  • The role of cyber technology in changing the world since the 1990s
  • How the private sector is essential in combating cyber threats
  • Computer infrastructure protection against cyber attacks
  • Impact of social networking sites on cybersecurity
  • Threats that cyber-attacks pose the national security of a country
  • How cyber monitoring affects ethical and legal considerations
  • Factors leading to the global nature of cyber attacks
  • Analyze law enforcement agencies that deal with cyber attacks
  • Evaluate cyber-crime court cases
  • Evolution of the cybersecurity industry
  • Cyber terrorism in the US
  • Implementing adequate data protection strategies

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Cybersecurity Dissertation Topics

Cybersecurity Dissertation Topics

As technology becomes more integrated into our daily lives, cybersecurity is an intriguing area to research for your dissertation. Cybersecurity is nearly unavoidable, from basic security systems protecting our mobile devices to sophisticated security measures used by large corporations to protect their customers’ personal data. This assistance makes it possible to complete a diverse range of interesting and innovative cyber security dissertations. Cybersecurity and cryptocurrencies, the impact of cybersecurity on business and economics, the role of cybersecurity in international affairs, cybersecurity and cybercrime, and how cybersecurity interacts with big data and the Internet of Things are just a few of the most pressing topics in the field of cybersecurity (IoT).

Editingarsenal  has compiled a list of some of the most popular and common dissertation topics from a variety of academic disciplines, so you can pick and choose what to write about. If you need  dissertation editing assistance  , don’t hesitate to contact one of our qualified and experienced editors and proofreaders.

Big Data and Internet of Things (IOT) Topics

  • Developing effective cybersecurity strategies to facilitate the integration of an Internet of Things system.
  • How to apply cybersecurity to the management of large amounts of data: A critical examination of the detection algorithms’ application.
  • An examination of the role of artificial intelligence in the development of comprehensive and self-contained cybersecurity systems.
  • How does machine learning contribute to the development of effective cybersecurity systems? A banking industry case study?
  • A critical examination of the critical importance of integrating cyber security systems into big data analytics.
  • What are the best practises for cyber security across multiple Internet of Things devices?

Role of Cybersecurity in Business and Economics Topics

  • Risk management’s mediating role in the implementation of a comprehensive cybersecurity strategy will be examined.
  • Virtual Private Networks (VPNs) as a means of facilitating remote work: A discussion of the critical cyber security implications of developing VPN systems successfully.
  • A critical examination of the role of cybersecurity in optimising supply chain performance and collaboration.
  • What cyber security measures can small and medium-sized businesses take to bolster their data protection protocols and boost customer confidence?
  • A discussion of effective cyber security strategies for mitigating the risk of cybercrime having an adverse effect on business operations and continuity.
  • Which costing and investment models are most effective for determining whether implementing cyber security measures results in a positive return on investment?

Cybersecurity and Cyber Crime Topics

The impact of cybersecurity on the eradication of cybercrime: An examination of the Equifax cyberattack. From 1980 to 2020, a historical examination of cybercrime: A critical examination of cybercrime’s evolution and possible future threats. Strategies for preventing cybercrime among novices: An examination of how computer users with limited knowledge can utilise cybersecurity. Cyber forensics’ role in preventing cybercrime and as a critical component of a cybersecurity system. What are the potential advantages and disadvantages of simulating phishing scams in order to raise awareness about corporate cybercrime? Cybercrime’s novel techniques: How can cybersecurity strategies be used to protect mobile devices from cybercriminals?

Cybersecurity and Cryptocurrencies Topics

  • A retrospective on cyber security’s evolution in order to bolster the cryptographic security of blockchain technologies.
  • A thorough examination of cybercrime and cryptocurrencies.
  • How can blockchain applications help develop cyber security strategies aimed at mitigating the global threat posed by cybercrime?
  • How can the European Union regulate cryptocurrencies: What role does cyber security play in this process?
  • Is it possible to use blockchain technologies to lay the groundwork for the emerging field of cyber forensics?
  • An examination of the future of cryptocurrencies and their potential to act as a mediating force in the current state of cyber security strategies.

Cybersecurity and International Relations

  • The impact of Covid-19 on cybersecurity within an organisation as a result of increased levels of remote work.
  • How should international legislation be drafted to aid in the advancement of cybersecurity and the reduction of cybercrime’s growing prevalence in the developed world?
  • Have the recently enacted General Data Protection Regulations significantly enhanced personal data protection and contributed to the decrease in cybercrime and identity theft?
  • A critical examination of the opportunities and current implementation barriers for cyber security in the developing world.
  • How can cyber security be used to bolster data protection in order to combat Covid-19 spread via vaccination distribution programmes?
  • How do the United States of America, China, and Russia manage cyber security when they interact?
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50 Great Cybersecurity Research Paper Topics

cyber security topics

Students are required to write papers and essays on cyber security topics when pursuing programs in cyber security disciplines. These topics are technical and they require learners to inherently understand this subject. What’s more, students should have impeccable research and writing skills.

Additionally, students should choose cyber security topics to write their papers and essays carefully. As a science field, cyber security is developing rapidly and constantly. As such, learners can always find interesting topics to write papers and essays about.

Pick Cyber Security Topics From Our List

Software and computer administration cyber security topics.

  • Cyber Security Research Paper Topics on Data Protection
  • Cyber Security Awareness Topics

Network Security Topic Ideas

  • Current and Interesting Topics in Cyber Security

Nevertheless, selecting cybersecurity topics for research shouldn’t be a rushed process. That’s because the chosen topics will influence the experience of students while writing and the grades they will score. Therefore, learners should focus on choosing topics that they will be comfortable researching and writing about.

If you’re having a hard time choosing the topics to research and write about, here are categories of some of the best cybersecurity paper topics that you can consider. We also advise you to check out capstone project topics .

The cyber security of a company can be compromised in many ways when it comes to software and computer administration. As such, software and computer administration is a great sources of cybersecurity research paper topics. Here are some of the best topics in this category.

  • Evaluation of the operation of antimalware in preventing cyber attacks
  • How does virus encryption work
  • Is countering malware difficult because of the fast evolution of technology?
  • Why should companies train their staff on cyber security?
  • Why should people worry about identity theft?
  • How important are software updates when it comes to cyber security?
  • What causes cyber crimes?
  • What are the major threats to the cyber security of social media users?
  • What are the most effective methods of preventing phishing?
  • What is the major threat to cyber security today and why?

These topics address issues that affect anybody or any organization that uses a computer or any device to access the internet and exchange information. As such, most people, including teachers and professors, will be impressed by papers and essays written about them.

CyberSecurity Research Paper Topics on Data Protection

Individuals and companies send and receive a lot of data every day. As such, this category has some of the best cybersecurity topics for presentation. That’s because they address issues that affect many people and organizations. Here are some of the best information security topics to consider when writing papers and essays or preparing a presentation.

  • The best security measures for protecting your data
  • How third-party applications can be used to access and acquire data without permission
  • How to prevent the loss of data from a computer
  • Can biometrics be used to prevent unauthorized data access?
  • Can you protect yourself from cyber crimes by keeping personal data private?
  • What should you do in case of a data breach?
  • How can you secure your data with a 2-steps authentication process?
  • How can public Wi-Fi or the internet be used to steal personal data?
  • What information can be accessed by unauthorized persons if they hack an account?
  • Can software updates help in protecting personal data?

Every computer or internet user wants to be sure that their data is safe and protected. Papers and essays that are written on these topics address issues of data protection. As such, many people will find them worth reading.

CyberSecurity Awareness Research Paper Topics

The best cyber security topics for research papers do more than just address a single issue. They also inform the readers. Here are some of the best cyber security topics for research papers that also focus on creating awareness.

  • What is reverse engineering?
  • How efficient are RFID security systems?
  • How does the dark web propagate organized cyber crimes?
  • How can steganalysis be applied?
  • Analyze the best authorization infrastructures today
  • How important is computer forensics in the current digital era?
  • What strategies have been proven effective in preventing cyber-attacks?
  • Which forensic tools are the best when it comes to detecting cyber threats?
  • Can changing the password regularly help in predicting a cyber attack?
  • How can you tell that you’re at risk of online identity theft?

Many people are not aware of many things that affect their cyber security. These topics are relevant because they enhance the awareness of the internet and computer users.

Most organizations today have networked systems that enhance their operations. Unfortunately, criminals have learned to target those networked systems with their criminal activities. As such, students can address some of these issues with their cyber security thesis topics. Here are interesting topics that learners can research and write about in this category.

  • Evaluation of the cyber security legal framework in the U.S
  • Analysis of the most difficult aspect of the administration of cyber security
  • How can the possibilities of multiple threats be managed effectively?
  • How does data backup help when it comes to cyber security?
  • How effective is two-factor authentication?
  • How should a company respond to hacking in its system?
  • Which are the best cyber security protection approaches for a multinational company?
  • What are the pros and cons of unified user profiles?
  • What are the most important components of effective data governance?
  • What motivates individuals to commit cybercrimes?

These computer security topics can be used to write papers and essays for college or even commissioned by organizations and used for presentation purposes.

Current and Interesting Topics in CyberSecurity

Some computer security research topics seek to address issues that affect society at the moment. Here are examples of such topics.

  • How phishing is evolving and getting more sophisticated
  • Explain the evolution of Ransomware strategies
  • Explain how the cryptocurrency movement affects cybersecurity
  • Cyber-Physical Attacks: How do they work?
  • What are state-sponsored attacks and how do they affect cyber security at a global level?
  • Discuss cyber security risks when it comes to third-party vendor relationships
  • How digital advertisements are being used to collect user characteristics
  • How can a person sync all their devices while ensuring their protection
  • Why it’s advisable to avoid downloading files from sites that are not trusted
  • Why consumers should read the terms and conditions of software before they decide to install it

Such technology security topics are trendy because they address issues that affect most people in modern society. Nevertheless, students should conduct extensive research to draft solid papers and essays on these topics.

This cyber security topic list is not exhaustive. You can contact our thesis writers if you need more ideas or help. Students have many topics to consider depending on their academic programs, interests, and instructions provided by educators or professors. Nevertheless, students should focus on choosing topics that will enable them to come up with informative and comprehensive papers. Thus, every student should choose an information security topic for which they can find relevant and supporting data.

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Cyber risk and cybersecurity: a systematic review of data availability

  • Open access
  • Published: 17 February 2022
  • Volume 47 , pages 698–736, ( 2022 )

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cyber security dissertation topics 2021

  • Frank Cremer 1 ,
  • Barry Sheehan   ORCID: orcid.org/0000-0003-4592-7558 1 ,
  • Michael Fortmann 2 ,
  • Arash N. Kia 1 ,
  • Martin Mullins 1 ,
  • Finbarr Murphy 1 &
  • Stefan Materne 2  

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Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020, indicating an increase of more than 50% since 2018. With the average cyber insurance claim rising from USD 145,000 in 2019 to USD 359,000 in 2020, there is a growing necessity for better cyber information sources, standardised databases, mandatory reporting and public awareness. This research analyses the extant academic and industry literature on cybersecurity and cyber risk management with a particular focus on data availability. From a preliminary search resulting in 5219 cyber peer-reviewed studies, the application of the systematic methodology resulted in 79 unique datasets. We posit that the lack of available data on cyber risk poses a serious problem for stakeholders seeking to tackle this issue. In particular, we identify a lacuna in open databases that undermine collective endeavours to better manage this set of risks. The resulting data evaluation and categorisation will support cybersecurity researchers and the insurance industry in their efforts to comprehend, metricise and manage cyber risks.

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Introduction

Globalisation, digitalisation and smart technologies have escalated the propensity and severity of cybercrime. Whilst it is an emerging field of research and industry, the importance of robust cybersecurity defence systems has been highlighted at the corporate, national and supranational levels. The impacts of inadequate cybersecurity are estimated to have cost the global economy USD 945 billion in 2020 (Maleks Smith et al. 2020 ). Cyber vulnerabilities pose significant corporate risks, including business interruption, breach of privacy and financial losses (Sheehan et al. 2019 ). Despite the increasing relevance for the international economy, the availability of data on cyber risks remains limited. The reasons for this are many. Firstly, it is an emerging and evolving risk; therefore, historical data sources are limited (Biener et al. 2015 ). It could also be due to the fact that, in general, institutions that have been hacked do not publish the incidents (Eling and Schnell 2016 ). The lack of data poses challenges for many areas, such as research, risk management and cybersecurity (Falco et al. 2019 ). The importance of this topic is demonstrated by the announcement of the European Council in April 2021 that a centre of excellence for cybersecurity will be established to pool investments in research, technology and industrial development. The goal of this centre is to increase the security of the internet and other critical network and information systems (European Council 2021 ).

This research takes a risk management perspective, focusing on cyber risk and considering the role of cybersecurity and cyber insurance in risk mitigation and risk transfer. The study reviews the existing literature and open data sources related to cybersecurity and cyber risk. This is the first systematic review of data availability in the general context of cyber risk and cybersecurity. By identifying and critically analysing the available datasets, this paper supports the research community by aggregating, summarising and categorising all available open datasets. In addition, further information on datasets is attached to provide deeper insights and support stakeholders engaged in cyber risk control and cybersecurity. Finally, this research paper highlights the need for open access to cyber-specific data, without price or permission barriers.

The identified open data can support cyber insurers in their efforts on sustainable product development. To date, traditional risk assessment methods have been untenable for insurance companies due to the absence of historical claims data (Sheehan et al. 2021 ). These high levels of uncertainty mean that cyber insurers are more inclined to overprice cyber risk cover (Kshetri 2018 ). Combining external data with insurance portfolio data therefore seems to be essential to improve the evaluation of the risk and thus lead to risk-adjusted pricing (Bessy-Roland et al. 2021 ). This argument is also supported by the fact that some re/insurers reported that they are working to improve their cyber pricing models (e.g. by creating or purchasing databases from external providers) (EIOPA 2018 ). Figure  1 provides an overview of pricing tools and factors considered in the estimation of cyber insurance based on the findings of EIOPA ( 2018 ) and the research of Romanosky et al. ( 2019 ). The term cyber risk refers to all cyber risks and their potential impact.

figure 1

An overview of the current cyber insurance informational and methodological landscape, adapted from EIOPA ( 2018 ) and Romanosky et al. ( 2019 )

Besides the advantage of risk-adjusted pricing, the availability of open datasets helps companies benchmark their internal cyber posture and cybersecurity measures. The research can also help to improve risk awareness and corporate behaviour. Many companies still underestimate their cyber risk (Leong and Chen 2020 ). For policymakers, this research offers starting points for a comprehensive recording of cyber risks. Although in many countries, companies are obliged to report data breaches to the respective supervisory authority, this information is usually not accessible to the research community. Furthermore, the economic impact of these breaches is usually unclear.

As well as the cyber risk management community, this research also supports cybersecurity stakeholders. Researchers are provided with an up-to-date, peer-reviewed literature of available datasets showing where these datasets have been used. For example, this includes datasets that have been used to evaluate the effectiveness of countermeasures in simulated cyberattacks or to test intrusion detection systems. This reduces a time-consuming search for suitable datasets and ensures a comprehensive review of those available. Through the dataset descriptions, researchers and industry stakeholders can compare and select the most suitable datasets for their purposes. In addition, it is possible to combine the datasets from one source in the context of cybersecurity or cyber risk. This supports efficient and timely progress in cyber risk research and is beneficial given the dynamic nature of cyber risks.

Cyber risks are defined as “operational risks to information and technology assets that have consequences affecting the confidentiality, availability, and/or integrity of information or information systems” (Cebula et al. 2014 ). Prominent cyber risk events include data breaches and cyberattacks (Agrafiotis et al. 2018 ). The increasing exposure and potential impact of cyber risk have been highlighted in recent industry reports (e.g. Allianz 2021 ; World Economic Forum 2020 ). Cyberattacks on critical infrastructures are ranked 5th in the World Economic Forum's Global Risk Report. Ransomware, malware and distributed denial-of-service (DDoS) are examples of the evolving modes of a cyberattack. One example is the ransomware attack on the Colonial Pipeline, which shut down the 5500 mile pipeline system that delivers 2.5 million barrels of fuel per day and critical liquid fuel infrastructure from oil refineries to states along the U.S. East Coast (Brower and McCormick 2021 ). These and other cyber incidents have led the U.S. to strengthen its cybersecurity and introduce, among other things, a public body to analyse major cyber incidents and make recommendations to prevent a recurrence (Murphey 2021a ). Another example of the scope of cyberattacks is the ransomware NotPetya in 2017. The damage amounted to USD 10 billion, as the ransomware exploited a vulnerability in the windows system, allowing it to spread independently worldwide in the network (GAO 2021 ). In the same year, the ransomware WannaCry was launched by cybercriminals. The cyberattack on Windows software took user data hostage in exchange for Bitcoin cryptocurrency (Smart 2018 ). The victims included the National Health Service in Great Britain. As a result, ambulances were redirected to other hospitals because of information technology (IT) systems failing, leaving people in need of urgent assistance waiting. It has been estimated that 19,000 cancelled treatment appointments resulted from losses of GBP 92 million (Field 2018 ). Throughout the COVID-19 pandemic, ransomware attacks increased significantly, as working from home arrangements increased vulnerability (Murphey 2021b ).

Besides cyberattacks, data breaches can also cause high costs. Under the General Data Protection Regulation (GDPR), companies are obliged to protect personal data and safeguard the data protection rights of all individuals in the EU area. The GDPR allows data protection authorities in each country to impose sanctions and fines on organisations they find in breach. “For data breaches, the maximum fine can be €20 million or 4% of global turnover, whichever is higher” (GDPR.EU 2021 ). Data breaches often involve a large amount of sensitive data that has been accessed, unauthorised, by external parties, and are therefore considered important for information security due to their far-reaching impact (Goode et al. 2017 ). A data breach is defined as a “security incident in which sensitive, protected, or confidential data are copied, transmitted, viewed, stolen, or used by an unauthorized individual” (Freeha et al. 2021 ). Depending on the amount of data, the extent of the damage caused by a data breach can be significant, with the average cost being USD 392 million Footnote 1 (IBM Security 2020 ).

This research paper reviews the existing literature and open data sources related to cybersecurity and cyber risk, focusing on the datasets used to improve academic understanding and advance the current state-of-the-art in cybersecurity. Furthermore, important information about the available datasets is presented (e.g. use cases), and a plea is made for open data and the standardisation of cyber risk data for academic comparability and replication. The remainder of the paper is structured as follows. The next section describes the related work regarding cybersecurity and cyber risks. The third section outlines the review method used in this work and the process. The fourth section details the results of the identified literature. Further discussion is presented in the penultimate section and the final section concludes.

Related work

Due to the significance of cyber risks, several literature reviews have been conducted in this field. Eling ( 2020 ) reviewed the existing academic literature on the topic of cyber risk and cyber insurance from an economic perspective. A total of 217 papers with the term ‘cyber risk’ were identified and classified in different categories. As a result, open research questions are identified, showing that research on cyber risks is still in its infancy because of their dynamic and emerging nature. Furthermore, the author highlights that particular focus should be placed on the exchange of information between public and private actors. An improved information flow could help to measure the risk more accurately and thus make cyber risks more insurable and help risk managers to determine the right level of cyber risk for their company. In the context of cyber insurance data, Romanosky et al. ( 2019 ) analysed the underwriting process for cyber insurance and revealed how cyber insurers understand and assess cyber risks. For this research, they examined 235 American cyber insurance policies that were publicly available and looked at three components (coverage, application questionnaires and pricing). The authors state in their findings that many of the insurers used very simple, flat-rate pricing (based on a single calculation of expected loss), while others used more parameters such as the asset value of the company (or company revenue) or standard insurance metrics (e.g. deductible, limits), and the industry in the calculation. This is in keeping with Eling ( 2020 ), who states that an increased amount of data could help to make cyber risk more accurately measured and thus more insurable. Similar research on cyber insurance and data was conducted by Nurse et al. ( 2020 ). The authors examined cyber insurance practitioners' perceptions and the challenges they face in collecting and using data. In addition, gaps were identified during the research where further data is needed. The authors concluded that cyber insurance is still in its infancy, and there are still several unanswered questions (for example, cyber valuation, risk calculation and recovery). They also pointed out that a better understanding of data collection and use in cyber insurance would be invaluable for future research and practice. Bessy-Roland et al. ( 2021 ) come to a similar conclusion. They proposed a multivariate Hawkes framework to model and predict the frequency of cyberattacks. They used a public dataset with characteristics of data breaches affecting the U.S. industry. In the conclusion, the authors make the argument that an insurer has a better knowledge of cyber losses, but that it is based on a small dataset and therefore combination with external data sources seems essential to improve the assessment of cyber risks.

Several systematic reviews have been published in the area of cybersecurity (Kruse et al. 2017 ; Lee et al. 2020 ; Loukas et al. 2013 ; Ulven and Wangen 2021 ). In these papers, the authors concentrated on a specific area or sector in the context of cybersecurity. This paper adds to this extant literature by focusing on data availability and its importance to risk management and insurance stakeholders. With a priority on healthcare and cybersecurity, Kruse et al. ( 2017 ) conducted a systematic literature review. The authors identified 472 articles with the keywords ‘cybersecurity and healthcare’ or ‘ransomware’ in the databases Cumulative Index of Nursing and Allied Health Literature, PubMed and Proquest. Articles were eligible for this review if they satisfied three criteria: (1) they were published between 2006 and 2016, (2) the full-text version of the article was available, and (3) the publication is a peer-reviewed or scholarly journal. The authors found that technological development and federal policies (in the U.S.) are the main factors exposing the health sector to cyber risks. Loukas et al. ( 2013 ) conducted a review with a focus on cyber risks and cybersecurity in emergency management. The authors provided an overview of cyber risks in communication, sensor, information management and vehicle technologies used in emergency management and showed areas for which there is still no solution in the literature. Similarly, Ulven and Wangen ( 2021 ) reviewed the literature on cybersecurity risks in higher education institutions. For the literature review, the authors used the keywords ‘cyber’, ‘information threats’ or ‘vulnerability’ in connection with the terms ‘higher education, ‘university’ or ‘academia’. A similar literature review with a focus on Internet of Things (IoT) cybersecurity was conducted by Lee et al. ( 2020 ). The review revealed that qualitative approaches focus on high-level frameworks, and quantitative approaches to cybersecurity risk management focus on risk assessment and quantification of cyberattacks and impacts. In addition, the findings presented a four-step IoT cyber risk management framework that identifies, quantifies and prioritises cyber risks.

Datasets are an essential part of cybersecurity research, underlined by the following works. Ilhan Firat et al. ( 2021 ) examined various cybersecurity datasets in detail. The study was motivated by the fact that with the proliferation of the internet and smart technologies, the mode of cyberattacks is also evolving. However, in order to prevent such attacks, they must first be detected; the dissemination and further development of cybersecurity datasets is therefore critical. In their work, the authors observed studies of datasets used in intrusion detection systems. Khraisat et al. ( 2019 ) also identified a need for new datasets in the context of cybersecurity. The researchers presented a taxonomy of current intrusion detection systems, a comprehensive review of notable recent work, and an overview of the datasets commonly used for assessment purposes. In their conclusion, the authors noted that new datasets are needed because most machine-learning techniques are trained and evaluated on the knowledge of old datasets. These datasets do not contain new and comprehensive information and are partly derived from datasets from 1999. The authors noted that the core of this issue is the availability of new public datasets as well as their quality. The availability of data, how it is used, created and shared was also investigated by Zheng et al. ( 2018 ). The researchers analysed 965 cybersecurity research papers published between 2012 and 2016. They created a taxonomy of the types of data that are created and shared and then analysed the data collected via datasets. The researchers concluded that while datasets are recognised as valuable for cybersecurity research, the proportion of publicly available datasets is limited.

The main contributions of this review and what differentiates it from previous studies can be summarised as follows. First, as far as we can tell, it is the first work to summarise all available datasets on cyber risk and cybersecurity in the context of a systematic review and present them to the scientific community and cyber insurance and cybersecurity stakeholders. Second, we investigated, analysed, and made available the datasets to support efficient and timely progress in cyber risk research. And third, we enable comparability of datasets so that the appropriate dataset can be selected depending on the research area.

Methodology

Process and eligibility criteria.

The structure of this systematic review is inspired by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) framework (Page et al. 2021 ), and the search was conducted from 3 to 10 May 2021. Due to the continuous development of cyber risks and their countermeasures, only articles published in the last 10 years were considered. In addition, only articles published in peer-reviewed journals written in English were included. As a final criterion, only articles that make use of one or more cybersecurity or cyber risk datasets met the inclusion criteria. Specifically, these studies presented new or existing datasets, used them for methods, or used them to verify new results, as well as analysed them in an economic context and pointed out their effects. The criterion was fulfilled if it was clearly stated in the abstract that one or more datasets were used. A detailed explanation of this selection criterion can be found in the ‘Study selection’ section.

Information sources

In order to cover a complete spectrum of literature, various databases were queried to collect relevant literature on the topic of cybersecurity and cyber risks. Due to the spread of related articles across multiple databases, the literature search was limited to the following four databases for simplicity: IEEE Xplore, Scopus, SpringerLink and Web of Science. This is similar to other literature reviews addressing cyber risks or cybersecurity, including Sardi et al. ( 2021 ), Franke and Brynielsson ( 2014 ), Lagerström (2019), Eling and Schnell ( 2016 ) and Eling ( 2020 ). In this paper, all databases used in the aforementioned works were considered. However, only two studies also used all the databases listed. The IEEE Xplore database contains electrical engineering, computer science, and electronics work from over 200 journals and three million conference papers (IEEE 2021 ). Scopus includes 23,400 peer-reviewed journals from more than 5000 international publishers in the areas of science, engineering, medicine, social sciences and humanities (Scopus 2021 ). SpringerLink contains 3742 journals and indexes over 10 million scientific documents (SpringerLink 2021 ). Finally, Web of Science indexes over 9200 journals in different scientific disciplines (Science 2021 ).

A search string was created and applied to all databases. To make the search efficient and reproducible, the following search string with Boolean operator was used in all databases: cybersecurity OR cyber risk AND dataset OR database. To ensure uniformity of the search across all databases, some adjustments had to be made for the respective search engines. In Scopus, for example, the Advanced Search was used, and the field code ‘Title-ABS-KEY’ was integrated into the search string. For IEEE Xplore, the search was carried out with the Search String in the Command Search and ‘All Metadata’. In the Web of Science database, the Advanced Search was used. The special feature of this search was that it had to be carried out in individual steps. The first search was carried out with the terms cybersecurity OR cyber risk with the field tag Topic (T.S. =) and the second search with dataset OR database. Subsequently, these searches were combined, which then delivered the searched articles for review. For SpringerLink, the search string was used in the Advanced Search under the category ‘Find the resources with all of the words’. After conducting this search string, 5219 studies could be found. According to the eligibility criteria (period, language and only scientific journals), 1581 studies were identified in the databases:

Scopus: 135

Springer Link: 548

Web of Science: 534

An overview of the process is given in Fig.  2 . Combined with the results from the four databases, 854 articles without duplicates were identified.

figure 2

Literature search process and categorisation of the studies

Study selection

In the final step of the selection process, the articles were screened for relevance. Due to a large number of results, the abstracts were analysed in the first step of the process. The aim was to determine whether the article was relevant for the systematic review. An article fulfilled the criterion if it was recognisable in the abstract that it had made a contribution to datasets or databases with regard to cyber risks or cybersecurity. Specifically, the criterion was considered to be met if the abstract used datasets that address the causes or impacts of cyber risks, and measures in the area of cybersecurity. In this process, the number of articles was reduced to 288. The articles were then read in their entirety, and an expert panel of six people decided whether they should be used. This led to a final number of 255 articles. The years in which the articles were published and the exact number can be seen in Fig.  3 .

figure 3

Distribution of studies

Data collection process and synthesis of the results

For the data collection process, various data were extracted from the studies, including the names of the respective creators, the name of the dataset or database and the corresponding reference. It was also determined where the data came from. In the context of accessibility, it was determined whether access is free, controlled, available for purchase or not available. It was also determined when the datasets were created and the time period referenced. The application type and domain characteristics of the datasets were identified.

This section analyses the results of the systematic literature review. The previously identified studies are divided into three categories: datasets on the causes of cyber risks, datasets on the effects of cyber risks and datasets on cybersecurity. The classification is based on the intended use of the studies. This system of classification makes it easier for stakeholders to find the appropriate datasets. The categories are evaluated individually. Although complete information is available for a large proportion of datasets, this is not true for all of them. Accordingly, the abbreviation N/A has been inserted in the respective characters to indicate that this information could not be determined by the time of submission. The term ‘use cases in the literature’ in the following and supplementary tables refers to the application areas in which the corresponding datasets were used in the literature. The areas listed there refer to the topic area on which the researchers conducted their research. Since some datasets were used interdisciplinarily, the listed use cases in the literature are correspondingly longer. Before discussing each category in the next sections, Fig.  4 provides an overview of the number of datasets found and their year of creation. Figure  5 then shows the relationship between studies and datasets in the period under consideration. Figure  6 shows the distribution of studies, their use of datasets and their creation date. The number of datasets used is higher than the number of studies because the studies often used several datasets (Table 1 ).

figure 4

Distribution of dataset results

figure 5

Correlation between the studies and the datasets

figure 6

Distribution of studies and their use of datasets

Most of the datasets are generated in the U.S. (up to 58.2%). Canada and Australia rank next, with 11.3% and 5% of all the reviewed datasets, respectively.

Additionally, to create value for the datasets for the cyber insurance industry, an assessment of the applicability of each dataset has been provided for cyber insurers. This ‘Use Case Assessment’ includes the use of the data in the context of different analyses, calculation of cyber insurance premiums, and use of the information for the design of cyber insurance contracts or for additional customer services. To reasonably account for the transition of direct hyperlinks in the future, references were directed to the main websites for longevity (nearest resource point). In addition, the links to the main pages contain further information on the datasets and different versions related to the operating systems. The references were chosen in such a way that practitioners get the best overview of the respective datasets.

Case datasets

This section presents selected articles that use the datasets to analyse the causes of cyber risks. The datasets help identify emerging trends and allow pattern discovery in cyber risks. This information gives cybersecurity experts and cyber insurers the data to make better predictions and take appropriate action. For example, if certain vulnerabilities are not adequately protected, cyber insurers will demand a risk surcharge leading to an improvement in the risk-adjusted premium. Due to the capricious nature of cyber risks, existing data must be supplemented with new data sources (for example, new events, new methods or security vulnerabilities) to determine prevailing cyber exposure. The datasets of cyber risk causes could be combined with existing portfolio data from cyber insurers and integrated into existing pricing tools and factors to improve the valuation of cyber risks.

A portion of these datasets consists of several taxonomies and classifications of cyber risks. Aassal et al. ( 2020 ) propose a new taxonomy of phishing characteristics based on the interpretation and purpose of each characteristic. In comparison, Hindy et al. ( 2020 ) presented a taxonomy of network threats and the impact of current datasets on intrusion detection systems. A similar taxonomy was suggested by Kiwia et al. ( 2018 ). The authors presented a cyber kill chain-based taxonomy of banking Trojans features. The taxonomy built on a real-world dataset of 127 banking Trojans collected from December 2014 to January 2016 by a major U.K.-based financial organisation.

In the context of classification, Aamir et al. ( 2021 ) showed the benefits of machine learning for classifying port scans and DDoS attacks in a mixture of normal and attack traffic. Guo et al. ( 2020 ) presented a new method to improve malware classification based on entropy sequence features. The evaluation of this new method was conducted on different malware datasets.

To reconstruct attack scenarios and draw conclusions based on the evidence in the alert stream, Barzegar and Shajari ( 2018 ) use the DARPA2000 and MACCDC 2012 dataset for their research. Giudici and Raffinetti ( 2020 ) proposed a rank-based statistical model aimed at predicting the severity levels of cyber risk. The model used cyber risk data from the University of Milan. In contrast to the previous datasets, Skrjanc et al. ( 2018 ) used the older dataset KDD99 to monitor large-scale cyberattacks using a cauchy clustering method.

Amin et al. ( 2021 ) used a cyberattack dataset from the Canadian Institute for Cybersecurity to identify spatial clusters of countries with high rates of cyberattacks. In the context of cybercrime, Junger et al. ( 2020 ) examined crime scripts, key characteristics of the target company and the relationship between criminal effort and financial benefit. For their study, the authors analysed 300 cases of fraudulent activities against Dutch companies. With a similar focus on cybercrime, Mireles et al. ( 2019 ) proposed a metric framework to measure the effectiveness of the dynamic evolution of cyberattacks and defensive measures. To validate its usefulness, they used the DEFCON dataset.

Due to the rapidly changing nature of cyber risks, it is often impossible to obtain all information on them. Kim and Kim ( 2019 ) proposed an automated dataset generation system called CTIMiner that collects threat data from publicly available security reports and malware repositories. They released a dataset to the public containing about 640,000 records from 612 security reports published between January 2008 and 2019. A similar approach is proposed by Kim et al. ( 2020 ), using a named entity recognition system to extract core information from cyber threat reports automatically. They created a 498,000-tag dataset during their research (Ulven and Wangen 2021 ).

Within the framework of vulnerabilities and cybersecurity issues, Ulven and Wangen ( 2021 ) proposed an overview of mission-critical assets and everyday threat events, suggested a generic threat model, and summarised common cybersecurity vulnerabilities. With a focus on hospitality, Chen and Fiscus ( 2018 ) proposed several issues related to cybersecurity in this sector. They analysed 76 security incidents from the Privacy Rights Clearinghouse database. Supplementary Table 1 lists all findings that belong to the cyber causes dataset.

Impact datasets

This section outlines selected findings of the cyber impact dataset. For cyber insurers, these datasets can form an important basis for information, as they can be used to calculate cyber insurance premiums, evaluate specific cyber risks, formulate inclusions and exclusions in cyber wordings, and re-evaluate as well as supplement the data collected so far on cyber risks. For example, information on financial losses can help to better assess the loss potential of cyber risks. Furthermore, the datasets can provide insight into the frequency of occurrence of these cyber risks. The new datasets can be used to close any data gaps that were previously based on very approximate estimates or to find new results.

Eight studies addressed the costs of data breaches. For instance, Eling and Jung ( 2018 ) reviewed 3327 data breach events from 2005 to 2016 and identified an asymmetric dependence of monthly losses by breach type and industry. The authors used datasets from the Privacy Rights Clearinghouse for analysis. The Privacy Rights Clearinghouse datasets and the Breach level index database were also used by De Giovanni et al. ( 2020 ) to describe relationships between data breaches and bitcoin-related variables using the cointegration methodology. The data were obtained from the Department of Health and Human Services of healthcare facilities reporting data breaches and a national database of technical and organisational infrastructure information. Also in the context of data breaches, Algarni et al. ( 2021 ) developed a comprehensive, formal model that estimates the two components of security risks: breach cost and the likelihood of a data breach within 12 months. For their survey, the authors used two industrial reports from the Ponemon institute and VERIZON. To illustrate the scope of data breaches, Neto et al. ( 2021 ) identified 430 major data breach incidents among more than 10,000 incidents. The database created is available and covers the period 2018 to 2019.

With a direct focus on insurance, Biener et al. ( 2015 ) analysed 994 cyber loss cases from an operational risk database and investigated the insurability of cyber risks based on predefined criteria. For their study, they used data from the company SAS OpRisk Global Data. Similarly, Eling and Wirfs ( 2019 ) looked at a wide range of cyber risk events and actual cost data using the same database. They identified cyber losses and analysed them using methods from statistics and actuarial science. Using a similar reference, Farkas et al. ( 2021 ) proposed a method for analysing cyber claims based on regression trees to identify criteria for classifying and evaluating claims. Similar to Chen and Fiscus ( 2018 ), the dataset used was the Privacy Rights Clearinghouse database. Within the framework of reinsurance, Moro ( 2020 ) analysed cyber index-based information technology activity to see if index-parametric reinsurance coverage could suggest its cedant using data from a Symantec dataset.

PatĂ©-Cornell et al. ( 2018 ) presented a general probabilistic risk analysis framework for cybersecurity in an organisation to be specified. The results are distributions of losses to cyberattacks, with and without considered countermeasures in support of risk management decisions based both on past data and anticipated incidents. The data used were from The Common Vulnerability and Exposures database and via confidential access to a database of cyberattacks on a large, U.S.-based organisation. A different conceptual framework for cyber risk classification and assessment was proposed by Sheehan et al. ( 2021 ). This framework showed the importance of proactive and reactive barriers in reducing companies’ exposure to cyber risk and quantifying the risk. Another approach to cyber risk assessment and mitigation was proposed by Mukhopadhyay et al. ( 2019 ). They estimated the probability of an attack using generalised linear models, predicted the security technology required to reduce the probability of cyberattacks, and used gamma and exponential distributions to best approximate the average loss data for each malicious attack. They also calculated the expected loss due to cyberattacks, calculated the net premium that would need to be charged by a cyber insurer, and suggested cyber insurance as a strategy to minimise losses. They used the CSI-FBI survey (1997–2010) to conduct their research.

In order to highlight the lack of data on cyber risks, Eling ( 2020 ) conducted a literature review in the areas of cyber risk and cyber insurance. Available information on the frequency, severity, and dependency structure of cyber risks was filtered out. In addition, open questions for future cyber risk research were set up. Another example of data collection on the impact of cyberattacks is provided by Sornette et al. ( 2013 ), who use a database of newspaper articles, press reports and other media to provide a predictive method to identify triggering events and potential accident scenarios and estimate their severity and frequency. A similar approach to data collection was used by Arcuri et al. ( 2020 ) to gather an original sample of global cyberattacks from newspaper reports sourced from the LexisNexis database. This collection is also used and applied to the fields of dynamic communication and cyber risk perception by Fang et al. ( 2021 ). To create a dataset of cyber incidents and disputes, Valeriano and Maness ( 2014 ) collected information on cyber interactions between rival states.

To assess trends and the scale of economic cybercrime, Levi ( 2017 ) examined datasets from different countries and their impact on crime policy. Pooser et al. ( 2018 ) investigated the trend in cyber risk identification from 2006 to 2015 and company characteristics related to cyber risk perception. The authors used a dataset of various reports from cyber insurers for their study. Walker-Roberts et al. ( 2020 ) investigated the spectrum of risk of a cybersecurity incident taking place in the cyber-physical-enabled world using the VERIS Community Database. The datasets of impacts identified are presented below. Due to overlap, some may also appear in the causes dataset (Supplementary Table 2).

Cybersecurity datasets

General intrusion detection.

General intrusion detection systems account for the largest share of countermeasure datasets. For companies or researchers focused on cybersecurity, the datasets can be used to test their own countermeasures or obtain information about potential vulnerabilities. For example, Al-Omari et al. ( 2021 ) proposed an intelligent intrusion detection model for predicting and detecting attacks in cyberspace, which was applied to dataset UNSW-NB 15. A similar approach was taken by Choras and Kozik ( 2015 ), who used machine learning to detect cyberattacks on web applications. To evaluate their method, they used the HTTP dataset CSIC 2010. For the identification of unknown attacks on web servers, Kamarudin et al. ( 2017 ) proposed an anomaly-based intrusion detection system using an ensemble classification approach. Ganeshan and Rodrigues ( 2020 ) showed an intrusion detection system approach, which clusters the database into several groups and detects the presence of intrusion in the clusters. In comparison, AlKadi et al. ( 2019 ) used a localisation-based model to discover abnormal patterns in network traffic. Hybrid models have been recommended by Bhattacharya et al. ( 2020 ) and Agrawal et al. ( 2019 ); the former is a machine-learning model based on principal component analysis for the classification of intrusion detection system datasets, while the latter is a hybrid ensemble intrusion detection system for anomaly detection using different datasets to detect patterns in network traffic that deviate from normal behaviour.

Agarwal et al. ( 2021 ) used three different machine learning algorithms in their research to find the most suitable for efficiently identifying patterns of suspicious network activity. The UNSW-NB15 dataset was used for this purpose. Kasongo and Sun ( 2020 ), Feed-Forward Deep Neural Network (FFDNN), Keshk et al. ( 2021 ), the privacy-preserving anomaly detection framework, and others also use the UNSW-NB 15 dataset as part of intrusion detection systems. The same dataset and others were used by Binbusayyis and Vaiyapuri ( 2019 ) to identify and compare key features for cyber intrusion detection. Atefinia and Ahmadi ( 2021 ) proposed a deep neural network model to reduce the false positive rate of an anomaly-based intrusion detection system. Fossaceca et al. ( 2015 ) focused in their research on the development of a framework that combined the outputs of multiple learners in order to improve the efficacy of network intrusion, and Gauthama Raman et al. ( 2020 ) presented a search algorithm based on Support Vector machine to improve the performance of the detection and false alarm rate to improve intrusion detection techniques. Ahmad and Alsemmeari ( 2020 ) targeted extreme learning machine techniques due to their good capabilities in classification problems and handling huge data. They used the NSL-KDD dataset as a benchmark.

With reference to prediction, Bakdash et al. ( 2018 ) used datasets from the U.S. Department of Defence to predict cyberattacks by malware. This dataset consists of weekly counts of cyber events over approximately seven years. Another prediction method was presented by Fan et al. ( 2018 ), which showed an improved integrated cybersecurity prediction method based on spatial-time analysis. Also, with reference to prediction, Ashtiani and Azgomi ( 2014 ) proposed a framework for the distributed simulation of cyberattacks based on high-level architecture. Kirubavathi and Anitha ( 2016 ) recommended an approach to detect botnets, irrespective of their structures, based on network traffic flow behaviour analysis and machine-learning techniques. Dwivedi et al. ( 2021 ) introduced a multi-parallel adaptive technique to utilise an adaption mechanism in the group of swarms for network intrusion detection. AlEroud and Karabatis ( 2018 ) presented an approach that used contextual information to automatically identify and query possible semantic links between different types of suspicious activities extracted from network flows.

Intrusion detection systems with a focus on IoT

In addition to general intrusion detection systems, a proportion of studies focused on IoT. Habib et al. ( 2020 ) presented an approach for converting traditional intrusion detection systems into smart intrusion detection systems for IoT networks. To enhance the process of diagnostic detection of possible vulnerabilities with an IoT system, Georgescu et al. ( 2019 ) introduced a method that uses a named entity recognition-based solution. With regard to IoT in the smart home sector, Heartfield et al. ( 2021 ) presented a detection system that is able to autonomously adjust the decision function of its underlying anomaly classification models to a smart home’s changing condition. Another intrusion detection system was suggested by Keserwani et al. ( 2021 ), which combined Grey Wolf Optimization and Particle Swam Optimization to identify various attacks for IoT networks. They used the KDD Cup 99, NSL-KDD and CICIDS-2017 to evaluate their model. Abu Al-Haija and Zein-Sabatto ( 2020 ) provide a comprehensive development of a new intelligent and autonomous deep-learning-based detection and classification system for cyberattacks in IoT communication networks that leverage the power of convolutional neural networks, abbreviated as IoT-IDCS-CNN (IoT-based Intrusion Detection and Classification System using Convolutional Neural Network). To evaluate the development, the authors used the NSL-KDD dataset. Biswas and Roy ( 2021 ) recommended a model that identifies malicious botnet traffic using novel deep-learning approaches like artificial neural networks gutted recurrent units and long- or short-term memory models. They tested their model with the Bot-IoT dataset.

With a more forensic background, Koroniotis et al. ( 2020 ) submitted a network forensic framework, which described the digital investigation phases for identifying and tracing attack behaviours in IoT networks. The suggested work was evaluated with the Bot-IoT and UINSW-NB15 datasets. With a focus on big data and IoT, Chhabra et al. ( 2020 ) presented a cyber forensic framework for big data analytics in an IoT environment using machine learning. Furthermore, the authors mentioned different publicly available datasets for machine-learning models.

A stronger focus on a mobile phones was exhibited by Alazab et al. ( 2020 ), which presented a classification model that combined permission requests and application programme interface calls. The model was tested with a malware dataset containing 27,891 Android apps. A similar approach was taken by Li et al. ( 2019a , b ), who proposed a reliable classifier for Android malware detection based on factorisation machine architecture and extraction of Android app features from manifest files and source code.

Literature reviews

In addition to the different methods and models for intrusion detection systems, various literature reviews on the methods and datasets were also found. Liu and Lang ( 2019 ) proposed a taxonomy of intrusion detection systems that uses data objects as the main dimension to classify and summarise machine learning and deep learning-based intrusion detection literature. They also presented four different benchmark datasets for machine-learning detection systems. Ahmed et al. ( 2016 ) presented an in-depth analysis of four major categories of anomaly detection techniques, which include classification, statistical, information theory and clustering. Hajj et al. ( 2021 ) gave a comprehensive overview of anomaly-based intrusion detection systems. Their article gives an overview of the requirements, methods, measurements and datasets that are used in an intrusion detection system.

Within the framework of machine learning, Chattopadhyay et al. ( 2018 ) conducted a comprehensive review and meta-analysis on the application of machine-learning techniques in intrusion detection systems. They also compared different machine learning techniques in different datasets and summarised the performance. Vidros et al. ( 2017 ) presented an overview of characteristics and methods in automatic detection of online recruitment fraud. They also published an available dataset of 17,880 annotated job ads, retrieved from the use of a real-life system. An empirical study of different unsupervised learning algorithms used in the detection of unknown attacks was presented by Meira et al. ( 2020 ).

New datasets

Kilincer et al. ( 2021 ) reviewed different intrusion detection system datasets in detail. They had a closer look at the UNS-NB15, ISCX-2012, NSL-KDD and CIDDS-001 datasets. Stojanovic et al. ( 2020 ) also provided a review on datasets and their creation for use in advanced persistent threat detection in the literature. Another review of datasets was provided by Sarker et al. ( 2020 ), who focused on cybersecurity data science as part of their research and provided an overview from a machine-learning perspective. Avila et al. ( 2021 ) conducted a systematic literature review on the use of security logs for data leak detection. They recommended a new classification of information leak, which uses the GDPR principles, identified the most widely publicly available dataset for threat detection, described the attack types in the datasets and the algorithms used for data leak detection. Tuncer et al. ( 2020 ) presented a bytecode-based detection method consisting of feature extraction using local neighbourhood binary patterns. They chose a byte-based malware dataset to investigate the performance of the proposed local neighbourhood binary pattern-based detection method. With a different focus, Mauro et al. ( 2020 ) gave an experimental overview of neural-based techniques relevant to intrusion detection. They assessed the value of neural networks using the Bot-IoT and UNSW-DB15 datasets.

Another category of results in the context of countermeasure datasets is those that were presented as new. Moreno et al. ( 2018 ) developed a database of 300 security-related accidents from European and American sources. The database contained cybersecurity-related events in the chemical and process industry. Damasevicius et al. ( 2020 ) proposed a new dataset (LITNET-2020) for network intrusion detection. The dataset is a new annotated network benchmark dataset obtained from the real-world academic network. It presents real-world examples of normal and under-attack network traffic. With a focus on IoT intrusion detection systems, Alsaedi et al. ( 2020 ) proposed a new benchmark IoT/IIot datasets for assessing intrusion detection system-enabled IoT systems. Also in the context of IoT, Vaccari et al. ( 2020 ) proposed a dataset focusing on message queue telemetry transport protocols, which can be used to train machine-learning models. To evaluate the performance of machine-learning classifiers, Mahfouz et al. ( 2020 ) created a dataset called Game Theory and Cybersecurity (GTCS). A dataset containing 22,000 malware and benign samples was constructed by Martin et al. ( 2019 ). The dataset can be used as a benchmark to test the algorithm for Android malware classification and clustering techniques. In addition, Laso et al. ( 2017 ) presented a dataset created to investigate how data and information quality estimates enable the detection of anomalies and malicious acts in cyber-physical systems. The dataset contained various cyberattacks and is publicly available.

In addition to the results described above, several other studies were found that fit into the category of countermeasures. Johnson et al. ( 2016 ) examined the time between vulnerability disclosures. Using another vulnerabilities database, Common Vulnerabilities and Exposures (CVE), Subroto and Apriyana ( 2019 ) presented an algorithm model that uses big data analysis of social media and statistical machine learning to predict cyber risks. A similar databank but with a different focus, Common Vulnerability Scoring System, was used by Chatterjee and Thekdi ( 2020 ) to present an iterative data-driven learning approach to vulnerability assessment and management for complex systems. Using the CICIDS2017 dataset to evaluate the performance, Malik et al. ( 2020 ) proposed a control plane-based orchestration for varied, sophisticated threats and attacks. The same dataset was used in another study by Lee et al. ( 2019 ), who developed an artificial security information event management system based on a combination of event profiling for data processing and different artificial network methods. To exploit the interdependence between multiple series, Fang et al. ( 2021 ) proposed a statistical framework. In order to validate the framework, the authors applied it to a dataset of enterprise-level security breaches from the Privacy Rights Clearinghouse and Identity Theft Center database. Another framework with a defensive aspect was recommended by Li et al. ( 2021 ) to increase the robustness of deep neural networks against adversarial malware evasion attacks. Sarabi et al. ( 2016 ) investigated whether and to what extent business details can help assess an organisation's risk of data breaches and the distribution of risk across different types of incidents to create policies for protection, detection and recovery from different forms of security incidents. They used data from the VERIS Community Database.

Datasets that have been classified into the cybersecurity category are detailed in Supplementary Table 3. Due to overlap, records from the previous tables may also be included.

This paper presented a systematic literature review of studies on cyber risk and cybersecurity that used datasets. Within this framework, 255 studies were fully reviewed and then classified into three different categories. Then, 79 datasets were consolidated from these studies. These datasets were subsequently analysed, and important information was selected through a process of filtering out. This information was recorded in a table and enhanced with further information as part of the literature analysis. This made it possible to create a comprehensive overview of the datasets. For example, each dataset contains a description of where the data came from and how the data has been used to date. This allows different datasets to be compared and the appropriate dataset for the use case to be selected. This research certainly has limitations, so our selection of datasets cannot necessarily be taken as a representation of all available datasets related to cyber risks and cybersecurity. For example, literature searches were conducted in four academic databases and only found datasets that were used in the literature. Many research projects also used old datasets that may no longer consider current developments. In addition, the data are often focused on only one observation and are limited in scope. For example, the datasets can only be applied to specific contexts and are also subject to further limitations (e.g. region, industry, operating system). In the context of the applicability of the datasets, it is unfortunately not possible to make a clear statement on the extent to which they can be integrated into academic or practical areas of application or how great this effort is. Finally, it remains to be pointed out that this is an overview of currently available datasets, which are subject to constant change.

Due to the lack of datasets on cyber risks in the academic literature, additional datasets on cyber risks were integrated as part of a further search. The search was conducted on the Google Dataset search portal. The search term used was ‘cyber risk datasets’. Over 100 results were found. However, due to the low significance and verifiability, only 20 selected datasets were included. These can be found in Table 2  in the “ Appendix ”.

The results of the literature review and datasets also showed that there continues to be a lack of available, open cyber datasets. This lack of data is reflected in cyber insurance, for example, as it is difficult to find a risk-based premium without a sufficient database (Nurse et al. 2020 ). The global cyber insurance market was estimated at USD 5.5 billion in 2020 (Dyson 2020 ). When compared to the USD 1 trillion global losses from cybercrime (Maleks Smith et al. 2020 ), it is clear that there exists a significant cyber risk awareness challenge for both the insurance industry and international commerce. Without comprehensive and qualitative data on cyber losses, it can be difficult to estimate potential losses from cyberattacks and price cyber insurance accordingly (GAO 2021 ). For instance, the average cyber insurance loss increased from USD 145,000 in 2019 to USD 359,000 in 2020 (FitchRatings 2021 ). Cyber insurance is an important risk management tool to mitigate the financial impact of cybercrime. This is particularly evident in the impact of different industries. In the Energy & Commodities financial markets, a ransomware attack on the Colonial Pipeline led to a substantial impact on the U.S. economy. As a result of the attack, about 45% of the U.S. East Coast was temporarily unable to obtain supplies of diesel, petrol and jet fuel. This caused the average price in the U.S. to rise 7 cents to USD 3.04 per gallon, the highest in seven years (Garber 2021 ). In addition, Colonial Pipeline confirmed that it paid a USD 4.4 million ransom to a hacker gang after the attack. Another ransomware attack occurred in the healthcare and government sector. The victim of this attack was the Irish Health Service Executive (HSE). A ransom payment of USD 20 million was demanded from the Irish government to restore services after the hack (Tidy 2021 ). In the car manufacturing sector, Miller and Valasek ( 2015 ) initiated a cyberattack that resulted in the recall of 1.4 million vehicles and cost manufacturers EUR 761 million. The risk that arises in the context of these events is the potential for the accumulation of cyber losses, which is why cyber insurers are not expanding their capacity. An example of this accumulation of cyber risks is the NotPetya malware attack, which originated in Russia, struck in Ukraine, and rapidly spread around the world, causing at least USD 10 billion in damage (GAO 2021 ). These events highlight the importance of proper cyber risk management.

This research provides cyber insurance stakeholders with an overview of cyber datasets. Cyber insurers can use the open datasets to improve their understanding and assessment of cyber risks. For example, the impact datasets can be used to better measure financial impacts and their frequencies. These data could be combined with existing portfolio data from cyber insurers and integrated with existing pricing tools and factors to better assess cyber risk valuation. Although most cyber insurers have sparse historical cyber policy and claims data, they remain too small at present for accurate prediction (Bessy-Roland et al. 2021 ). A combination of portfolio data and external datasets would support risk-adjusted pricing for cyber insurance, which would also benefit policyholders. In addition, cyber insurance stakeholders can use the datasets to identify patterns and make better predictions, which would benefit sustainable cyber insurance coverage. In terms of cyber risk cause datasets, cyber insurers can use the data to review their insurance products. For example, the data could provide information on which cyber risks have not been sufficiently considered in product design or where improvements are needed. A combination of cyber cause and cybersecurity datasets can help establish uniform definitions to provide greater transparency and clarity. Consistent terminology could lead to a more sustainable cyber market, where cyber insurers make informed decisions about the level of coverage and policyholders understand their coverage (The Geneva Association 2020).

In addition to the cyber insurance community, this research also supports cybersecurity stakeholders. The reviewed literature can be used to provide a contemporary, contextual and categorised summary of available datasets. This supports efficient and timely progress in cyber risk research and is beneficial given the dynamic nature of cyber risks. With the help of the described cybersecurity datasets and the identified information, a comparison of different datasets is possible. The datasets can be used to evaluate the effectiveness of countermeasures in simulated cyberattacks or to test intrusion detection systems.

In this paper, we conducted a systematic review of studies on cyber risk and cybersecurity databases. We found that most of the datasets are in the field of intrusion detection and machine learning and are used for technical cybersecurity aspects. The available datasets on cyber risks were relatively less represented. Due to the dynamic nature and lack of historical data, assessing and understanding cyber risk is a major challenge for cyber insurance stakeholders. To address this challenge, a greater density of cyber data is needed to support cyber insurers in risk management and researchers with cyber risk-related topics. With reference to ‘Open Science’ FAIR data (Jacobsen et al. 2020 ), mandatory reporting of cyber incidents could help improve cyber understanding, awareness and loss prevention among companies and insurers. Through greater availability of data, cyber risks can be better understood, enabling researchers to conduct more in-depth research into these risks. Companies could incorporate this new knowledge into their corporate culture to reduce cyber risks. For insurance companies, this would have the advantage that all insurers would have the same understanding of cyber risks, which would support sustainable risk-based pricing. In addition, common definitions of cyber risks could be derived from new data.

The cybersecurity databases summarised and categorised in this research could provide a different perspective on cyber risks that would enable the formulation of common definitions in cyber policies. The datasets can help companies addressing cybersecurity and cyber risk as part of risk management assess their internal cyber posture and cybersecurity measures. The paper can also help improve risk awareness and corporate behaviour, and provides the research community with a comprehensive overview of peer-reviewed datasets and other available datasets in the area of cyber risk and cybersecurity. This approach is intended to support the free availability of data for research. The complete tabulated review of the literature is included in the Supplementary Material.

This work provides directions for several paths of future work. First, there are currently few publicly available datasets for cyber risk and cybersecurity. The older datasets that are still widely used no longer reflect today's technical environment. Moreover, they can often only be used in one context, and the scope of the samples is very limited. It would be of great value if more datasets were publicly available that reflect current environmental conditions. This could help intrusion detection systems to consider current events and thus lead to a higher success rate. It could also compensate for the disadvantages of older datasets by collecting larger quantities of samples and making this contextualisation more widespread. Another area of research may be the integratability and adaptability of cybersecurity and cyber risk datasets. For example, it is often unclear to what extent datasets can be integrated or adapted to existing data. For cyber risks and cybersecurity, it would be helpful to know what requirements need to be met or what is needed to use the datasets appropriately. In addition, it would certainly be helpful to know whether datasets can be modified to be used for cyber risks or cybersecurity. Finally, the ability for stakeholders to identify machine-readable cybersecurity datasets would be useful because it would allow for even clearer delineations or comparisons between datasets. Due to the lack of publicly available datasets, concrete benchmarks often cannot be applied.

Average cost of a breach of more than 50 million records.

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Cremer, F., Sheehan, B., Fortmann, M. et al. Cyber risk and cybersecurity: a systematic review of data availability. Geneva Pap Risk Insur Issues Pract 47 , 698–736 (2022). https://doi.org/10.1057/s41288-022-00266-6

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Top 111+ Stunning Cybersecurity Research Topics For 2023

cybersecurity-research-topics

Are you confused about cybersecurity and its research topics? So here, in this blog, we will discuss cybersecurity research topics. This article is important If you are studying computer science or a cybersecurity course.

If you want good grades in cybersecurity research topics, you should pick the latest cybersecurity research topics for your academic exam or test. Here, you can choose the good and latest cybersecurity research topics.

You know that cybercrime is increasing day by day because millions of people use the internet. Several applications deal with the internet, and people normally use the internet for bank transactions, food delivery, online shopping, social media, gaming, etc. Attackers can steal your information, data, and money with the help of malicious software, So we need cybersecurity services.

What is Cybersecurity?

Table of Contents

Cybersecurity is a process of preventing unauthorized access or protecting networks, devices, and data from digital attacks. Cybersecurity is also known as IT(Information Technology)Security which is designed to prevent threats against network systems, applications, and other platforms. In simple words, It prevents or protects any information, data, and others.

Here Are Some of the Best Writing Tips From Statanalytica’s Expert

As you might already know that a well-planned action and a set of useful tools will also help you write a high-quality research paper. On the other hand, remaining motivated throughout the process.

  • By choosing an interesting topic for your research paper.
  • Conduct some research to find reputable sources.
  • Clearly state your cybersecurity thesis.
  • A rough plan should be created.
  • Finish your paper by drafting it.
  • Make sure your content is properly formatted.
  • Make sure you understand the assignment before you begin writing your research paper.

Let’s Discuss the 111+ Stunning Cybersecurity Research Topics

Below we listed 111+ cybersecurity research topics that can be used in 2023:

Top 10 Cyber Security Topics of 2023

Here are the top 10 cyber security topics of 2023:

  • Can strong passwords protect information?
  • Is security in critical infrastructure important?
  • The importance of end-user education
  • Cloud security posture management
  • How does malware work?
  • The principle of zero trust access
  • 3 phases of application security
  • Should removable media be encrypted?
  • The importance of network security
  • Do biometrics ensure the security of iPhones?

Latest Cybersecurity Research Topics of 2023

  • Is removable media a threat?
  • Cybersecurity standards for automotive
  • How to prevent social engineering attacks
  • Security breaches of remote working
  • How to prevent phishing attacks
  • Physical security measures in banks
  • Privacy settings of social media accounts
  • Blockchain security vulnerabilities
  • Why should you avoid public Wi-Fi?
  • How does two-factor authentication work?
  • Cryptography
  • Discuss the importance of intranet security
  • Rise of Automotive Hacking
  • What is ethical hacking? 
  • The evolution of phishing and how it is becoming more sophisticated
  • Which antivirus software is the best in the world?
  • The most up-to-date and trending cybersecurity technology
  • How can organizations prevent network attacks?
  • What is Digital Piracy?
  •  Application of biometrics in cyber security?
  • Identity theft on the Internet
  • Risk management in computing
  •  Rise of computer forensics
  • Threats are analyzed using digital forensic techniques
  • What is a Remote Access VPN?
  •  Digital security and Social Networks
  • The risks of using public Wi-Fi networks
  • Popular online scams in 2022
  • Artificial intelligence security systems

Network Security Research Topics 

  • Data storage centralization
  • Identify Malicious activity on a computer system.
  • Importance of keeping updated Software 
  • wireless sensor network
  • What are the effects of ad-hoc networks 
  • How can a company network be safe?
  • What are Network segmentation and its applications?
  • Discuss Data Loss Prevention systems 
  • Discuss various methods for establishing secure algorithms in a network.
  • Talk about two-factor authentication

Topics for Application Security Research

  • Discuss SQL injection attacks.
  • Inadequately configured security protocols.
  • Talk about data leaks in mobile apps.
  • Backend access control is critical.
  • Logging has many advantages for applications.
  • Malicious apps are available on Google Play.
  • AI applications: ethical constraints and opportunities.
  • What is the effect of insecure deserialization?
  • The most effective application security testing practices.
  • Apps are vulnerable to XSS attacks.

 Information Technology Security Research Topics

  • Why should people avoid sharing their details on Facebook?
  • What is the importance of unified user profiles?
  •  Discuss Cookies and Privacy 
  • White hat and black hat hackers
  • What are the most secure methods for ensuring data integrity?
  • Talk about the implications of Wi-Fi hacking apps on mobile phones
  • Analyze the data breaches in 2022
  • Discuss digital piracy in 2022
  • critical cyber-attack concepts
  • Social engineering and its importance

Operational Security Research Topics In 2023

  • Securing containerized applications in cloud environments.
  • Implementing secure remote access policies for remote workers.
  • Evaluating the effectiveness of endpoint protection solutions.
  • Protecting against DNS tunneling attacks.
  • Securing cloud-based storage solutions.
  • Developing secure mobile device management policies.
  • Analyzing the effectiveness of honeypots in detecting attacks.
  • Securing software supply chains against attacks.
  • Investigating the effectiveness of deception technologies in cybersecurity.
  • Developing secure network segmentation strategies.
  • Evaluating the effectiveness of network traffic analysis solutions.
  • Analyzing the effectiveness of two-factor authentication in securing systems.
  • Securing critical infrastructure against cyber threats.
  • Developing secure email policies to prevent phishing attacks.
  • Investigating the use of artificial intelligence in cybersecurity.
  • Developing secure DevOps practices.
  • Analyzing the effectiveness of security information and event management (SIEM) solutions.
  • Securing the Internet of Things (IoT) devices.
  • Evaluating the effectiveness of password management solutions.
  • Developing secure incident response strategies.

Topics for a Research Paper on CyberCrime Prevention

  • Criminal Specialization. 
  • Drug Courts. 
  • Capital Punishment. 
  • Criminal Courts. 
  • Crime Prevention. 
  • Community Corrections. 
  • Criminal Law. 
  • Criminal Justice Ethics. 

Computer and Software Security Research Topics

  • Learn algorithms for data encryption.
  • Concept of risk management security.
  • How to develop the best internet security software.
  •  What are Encrypting viruses- How does it work?
  • How does a Ransomware attack work?
  • Scanning of malware on your PC.
  • Infiltrating a Mac OS X operating system.
  • What are the effects of RSA on network security?
  • How do encrypting viruses work?
  • DDoS attacks on IoT devices.

Computer and Software Cyber Security Topics

  • The importance of updating computer software.
  • How to safeguard your computer against malware and other threats.
  • The best security practices for your computer and software.
  • The various types of cyber security threats and how to avoid them.
  • The significance of cyber security education and awareness.
  • The importance of cyber security in protecting critical infrastructure.

Data Security Research Topics

  • Importance of backup and recovery.
  • Benefits of logging for applications.
  • Understand physical data security.
  • Importance of Cloud Security.
  • In computing, the relationship between privacy and data security.
  • Discuss the effects of a black hole on a network system.

Application Security Topics

  • Detect Malicious Activity on Google Play Apps.
  • Dangers of XSS attacks on apps.
  • Insecure Deserialization Effect.
  • Check Security protocols.

CyberSecurity Law Research Paper Topics

  • Strict cybersecurity laws in China.
  • Importance of the Cybersecurity Information Sharing Act.
  • USA, UK, and other countries cybersecurity laws.
  • Discuss The Pipeline Security Act in the United States.

If you are interested in criminal research topics, then here are the best criminal justice research topics for you.

How to Choose The Best Cybersecurity Research Topics in 2023

There are a few factors to consider when selecting cybersecurity research topics. The first and main thing to consider is to ensure that the topic is current and relevant. Because cyber security is a changing field. As a result, it is very crucial to select a topic that will be relevant for a few months.

On the other hand, the second thing to consider is to select an interesting and engaging topic. Because cyber security can be a dry subject, it is critical to select a topic that will keep readers interested.

Finally, it is very important to select a researchable topic. There are several cybersecurity topics available, but not all of them are simple to research. Choose a topic about which there is a lot of information.

  • Determine your target audience
  • Define your research objectives
  • Choose a topic that your audience will find both interesting and relevant
  • Conduct preliminary research to ensure that there is sufficient information available on your chosen topic
  • Make sure your topic is focused enough to fit into a single research paper

Research Area in Cyber Security

Cybersecurity is extensive, and constantly evolving field. On the other hand, its research takes place in many areas:

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  • Quantum & Space 
  • Data Privacy 
  • Criminology & Law
  • AI & IoT Security

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In this blog, we have covered the 111+ best cybersecurity research topics. These cybersecurity topics help in your exam or test. If you have any difficulty with cybersecurity research topics, you can take cybersecurity research paper help or research paper assignment help at a very affordable price.

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This is the end of the post, which is about cybersecurity research topics. On the other hand, we mentioned 111+ stunning cybersecurity research topics for 2023 offer an excellent opportunity for researchers to explore and address critical cybersecurity challenges. However, the ever-evolving technological landscape presents new security challenges every day, and it is essential to keep up with the latest trends to stay ahead of cyber threats. 

On the other hand, these research topics provide many areas to explore, from network security, the internet of things, and software security to network security, cryptography, and data security. I hope you like this post.

Q1. What are the types of cyber security threats?

There are several different types of cyber security threats. More popular are Trojan horses, worms, ransomware, and phishing scams. These types of threats can be very dangerous for the cyber system.

Q2. What are the most controversial topics in criminal justice?

1. Prisoners being granted the right to work 2. Carrying a concealed weapon 3. Prison rape and violence 4. Plea agreement/bargain 5. Rehab vs. reform. 6. Is an eyewitness testimony effective? 7. Enforcement and effectiveness of stalking laws. 8. Rape culture and the victim’s rights

Q3. What are the main cyber threats of 2023?

There are multiple cyber security threats, but the main social threats of 2023 are email impersonation and phishing.  On the other hand, email impersonation is a phishing technique in which a fake email address that appears to be legitimate is used. 

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Dissertations on Cyber Security

Cyber security refers to technologies and practices undertaken to protect electronics systems and devices including computers, networks, smartphones, and the data they hold, from malicious damage, theft or exploitation.

View All Dissertation Examples

Cyber Security

Latest Cyber Security Dissertations

Including full dissertations, proposals, individual dissertation chapters, and study guides for students working on their undergraduate or masters dissertation.

Malware Detection Method to Detect Unknown Malwares Using Deep Learning

Dissertation Examples

The main aim of this paper is to present a robust Malware Detection method to detect unknown malwares using deep learning....

Last modified: 12th Sep 2024

Internet Evolution and Effects of Cybercrime

This paper will talk about the internet evolution and how its use has changed the world and the way people live and function and the cause and effect of cybercrime....

Last modified: 1st Mar 2022

Is Cyber Warfare the Future of War?

This dissertation looks at the subject of cyber warfare and examines how widespread a concern this is to nations and if indeed it is just a concern of the super powers....

Last modified: 24th Feb 2022

VLSI Implementation of a Key Distribution Server based Data Security Scheme for RFID

In this paper, we have proposed a security scheme which introduces a trusted Key management system. In this system, not a single key but several keys will be maintained, controlled and provided by the Key distribution server system (KDSS)....

Cryptography Process for Secure Storage System

In this paper, we show how such information can be used effectively for the task of organization, the defence of the country and protecting the integrity of the work of the employees....

Explanation of CISA and its Negative Impacts to Cybersecurity and the American People’s Rights and Privacy

This paper explains and explores the negative impacts of the Cybersecurity Information Sharing Act known as CISA....

Fundamentals of Cyber Security

Cybersecurity is continuously innovating at the same phase as cyber-attacks to match their technology since that is the only way it will effectively stop the risks posed by such attacks to digital data users....

Big Data Security and Privacy Issues – A Survey

Major security and privacy issues of Big Data include confidentiality, integrity, availability, monitoring and auditing, key management and data privacy....

Presidential Administration Policies in Cyber Crime and Technologies

Dissertation Proposals

The expected outcome of this evaluation shall establish that the Presidential Administration Polices in Cybercrime and Technology is insufficient and fragmented....

Cyber Maritime Security – Threats and Counter Measures

Investigation of triggers for threats to maritime security and assessing emerging threats with emphasis on cyber security....

Last modified: 23rd Feb 2022

Cloud Security in the Business Environment

This paper gives an overview on cloud security and seeks to identify the major security issues and their solutions in cloud computing security as well as identifying areas for future research....

Development of a Blog on Network Management and Security

I would like to present my graduation project which is an electronic bag that contain some tools and explanations related to networks management and security....

Security Measures for Software and Hardware Implementation

This document describes the security measures for software and hardware implementation in which there will be a detailed configuration, installation and testing....

A New Security Method for 4G LTE Networks

The purpose of the study is to secure the 4G LTE networks with a new method/approach. This project is related to network security....

Security Management Models in Information Technology

This paper will explore the various security management models available as a framework for illustrating what can make security management successful in enhancing an organization’s physical security....

Literature Review on Data Mining

This literature review discussed the most prevailing data mining techniques machine-learning and cluster analysis....

Mal-Adware Detection for URL Security

Our project is mainly going to focus on developing a tool which would give an output and it will show whether the URL is secure or not....

An Artificial Neural Network Approach for Detecting Spectrum Sensing Data Falsification Attacks

In this paper, we propose a multi-layer neural network classifier to detect falsified reports in cooperative spectrum sensing....

Survey of Data Breaches

Data breaches are a significant part of our everyday lives and understanding their legal and financial impact is important....

Social Engineering Overview: Techniques, Impacts and Defences

Over the course of this paper, an overview of social engineering will be given, along with the fundamentals of how social engineering works....

Successful Application of Deterrence in Cyberspace: A Case Study

This paper seeks to study the policy conditions for successful application of deterrence in cyberspace....

Security Assessment of Internet of Things

My objective with this report is to analyse the state of security with regards to IoT by assessing the controls put in place by manufactures of such devices....

Cloud Computing Security

We have summarised the security issue in cloud computing and also figured outs is reliability, availability and adaptation of the cloud computing services for various business or uses....

Last modified: 21st Feb 2022

Storage Services Security in Cloud Computing using Soft and Hard Decoding

In this thesis I emphasize my research work on Storage Services Security in Cloud Computing using Soft and Hard Decoding for erasure code using Genetic Optimization....

Last modified: 17th Feb 2022

Cyber security in New Space: Analysis of threats, key enabling technologies and challenges

This article analyses past satellite security threats and incidents to assess the motivations and characteristics of adversarial threats to satellites....

Last modified: 14th Feb 2022

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Elections laws too weak to lay charges in cases of meddling against Conservatives in 2021 election

cyber security dissertation topics 2021

Canadian co-chairs for the International Parliamentary Alliance, Conservative MP for Sherwood Park-Fort Saskatchewan Garnett Genuis, right, and Liberal MP for Scarborough-Guildwood John McKay appear at the Public Inquiry into Foreign Interference in Federal Electoral Processes and Democratic Institutions on Sept. 17 in Ottawa. Adrian Wyld/The Canadian Press

The Office of the Commissioner of Elections Canada found widespread meddling by China and its proxies in the 2021 election defeat of former Conservative MP Kenny Chiu, but the watchdog agency says it is unable to lay charges because the laws fail to take account of this type of foreign interference.

An Aug.19 redacted report from the Commissioner of Elections Canada tabled at the public inquiry into foreign interference Tuesday said investigators gathered information of multipronged attempts to influence the Chinese-Canadian diaspora in the Greater Vancouver area, including Mr. Chiu’s Steveston-Richmond East riding.

But the 112-page report concluded there was not sufficient evidence to lay charges of undue foreign influence under the current Elections Canada Act.

While there was a concerted effort by China and its proxies to influence Chinese-Canadian voters, Carmen Boucher, director of enforcement, told the inquiry elections laws do not take into account this type of activity.

She said the Election Canada Act, for example, only gives investigators the power to lay charges if an individual elector faces acts of intimidation.

“So widespread, systemic efforts to sway a community to act in a certain manner would be very difficult to prove, but it also would also be very unlikely to fall under the specific contraventions of the Act as narrowly as they are written,” she said, when asked by an inquiry lawyer what was needed to substantiate a charge.

Ms. Boucher said that her office, which investigates election wrongdoing, does not have the power to create offences to deal with this type of foreign interference. The law must be changed by Parliament.

“We are not responsible for creating legislation. We enforce the Act as approved by Parliament,” she said. The review was undertaken after a formal request from the Bloc QuĂ©bĂ©cois to re-examine China’s election meddling in Mr. Chiu’s riding and that of other Conservatives candidates in Greater Vancouver.

Ms. Boucher said the report in its largely unredacted form has been sent to the RCMP and Canadian Security Intelligence Service.

“My investigators’ role is to identify contraventions to our Act. They are not experts in national-security law and they are certainly not experts in the PRC and their efforts,” she said, referring to the People’s Republic of China.

The report was detailed and critical in laying out how China and its Canadian proxies worked to undermine Conservative Party of Canada (CPC) candidates in the 2021 election, particularly Mr. Chiu, an outspoken critic of the Beijing regime.

“Information gathered indicates that impetus and direction was given by PRC officials for the anti-CPC campaign,” the report said, citing a 2020 media interview by the then-Chinese consul general in Vancouver, a 2021 media interview by the Chinese ambassador, as well as an article published in the Global Times, a state-run Chinese tabloid, among other examples.

“The overall campaign was carried out and amplified via a multi-pronged and layered approach using Chinese Canadian association individuals, Chinese Canadian business interests as well as the pervasive social media and printed, digital and broadcast media messaging.”

The messaging aimed at Mr. Chiu claimed he was an “anti-China racist” because of his support for Uyghurs, pro-democracy Hong Kong demonstrators and what pro-China groups called an “anti-China” Conservative election platform.

The report said investigators were hampered by the fact that “many Chinese Canadian interview subjects described electors having an anticipatory ‘fear’ for family or economic well-being based on how the Chinese Communist Party works in China, but they consistently refused to name electors as interview subjects to support this.”

Earlier Tuesday, two MPs known as strong critics of Beijing’s human-rights abuses told the inquiry they can’t be certain that diaspora community contacts were not compromised by Chinese cybersecurity attacks on their parliamentary and personal mobile devices.

Liberal John McKay and Conservative Garnett Genuis, co-chairs of the Inter-Parliamentary Alliance on China (IPAC), testified on revelations earlier this year that 18 legislators in Canada were targeted in 2021 by hackers linked to Beijing.

China’s hacking of Canadian members of IPAC was discovered by the Federal Bureau of Investigation, which passed on the information to Ottawa in 2022. The government then informed Parliament, but MPs and senators were not told of this warning.

In testimony at the inquiry, Mr. McKay called China’s state security cyberattacks a “massive operation,” although he said House of Commons security assured him the firewall on his parliamentary mobile was not breached.

But Mr. McKay said he remains concerned that hackers from China could have been successful and this would have exposed members of diaspora communities that he deals with on confidential human-rights issues.

“I am reluctantly coming to the conclusion that I may have inadvertently exposed people who communicated with me,” Mr. McKay said when asked if the cyber hacking put these contacts at risk. “I am thinking of one particular individual from the Hong Kong community. I am thinking of some of the Falun Gong folks who would be in my contact list.”

Mr. Genuis, who conversed with members of diaspora communities on both his personal and parliamentary mobile devices, said China had targeted his personal mobile device. He has no idea if that phone was compromised.

“I have had communications on my personal account with individuals from [diaspora] communities, information that those individuals would not want any malicious actor to have access to,” he said.

Both MPs said House of Commons security did not conduct cybersecurity scans of their devices after the attack. Nor did government security agencies such as the Communications Security Establishment or the Canadian Security Intelligence Service.

Mr. Genuis said he felt let down that neither the government nor the House of Commons alerted them about the Chinese cyberattacks. They found out from the executive director of IPAC after he was informed by the FBI.

“We could have taken steps to protect ourselves more effectively if we had been informed and we were not informed,” Mr. Genuis said. “It remains mysterious to me why no one thought I had a right to know that this information that was very important to how I would protect myself and the people I correspond with.”

The inquiry also heard that Ottawa provides zero cyber protection for personal smartphones MPs carry. It’s not uncommon for MPs to carry two devices, with one supplied by the House of Commons and the other a personal phone – a second target for hackers.

Mr. McKay urged the inquiry to provide recommendations to Parliament on strengthening cybersecurity safeguards, including measures to warn parliamentarians properly when they are being threatened by hackers from hostile foreign states.

The Chinese hacking group that went after Canadian MPs had ties to the government in Beijing and been nicknamed Advanced Persistent Threat 31 or “APT31.″

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