Cyber security papers 2021 list

Don’t search any further, take a moment and look at this awesome list of cyber security papers. All of them are waiting to be read, and the best part, they are all free.

Cyber security papers

The listed papers have a focus on cyber security and machine learning. Most of the books can be found directly on Github, and it is also for that reason, that most of the listed items are linking towards Github.

Here is the list of various cyber security papers that are included in the sources provided:

1. Machine Learning for Cyber Defense and Attack
2. Applications of Machine Learning in Cyber Security
3. A Study of Cyber Security using Machine Learning Techniques
4. Cyber Attack Detection thanks to Machine Learning Algorithms
5. Machine Learning and Cyber Security
6. eXpose: A Character-Level Convolutional Neural Network with Embeddings For Detecting Malicious URLs, File Paths and Registry Keys
7. Machine Learning DDoS Detection for Consumer Internet of Things Devices
8. Detecting Malicious PowerShell Commands using Deep Neural Networks
9. EMBER: An Open Dataset for Training Static PE Malware Machine Learning Models
10. Practical Secure Aggregation for Privacy-Preserving Machine Learning
11. Artificial Intelligence Applications in Cybersecurity
12. On the Effectiveness of Machine and Deep Learning for Cyber Security
13. Anagram: A Content Anomaly Detector Resistant to Mimicry Attack
14. CAMP: Content-Agnostic Malware Protection
15. Machine Learning: A Threat-Hunting Reality Check
16. Practical Machine Learning in Infosec
17. EXPOSURE: Finding Malicious Domains Using Passive DNS Analysis
18. From Throw-Away Traffic to Bots: Detecting the Rise of DGA-Based Malware
19. Detecting Malware Domains at the Upper DNS Hierarchy
20. 4 Ways Machine Learning Is Powering Smarter Threat Intelligence
21. Nazca: Detecting Malware Distribution in Large-Scale Networks
22. Building a Dynamic Reputation System for DNS
23. Outside the Closed World: On Using Machine Learning For Network Intrusion Detection
24. DeepLog: Anomaly Detection and Diagnosis from System Logs through Deep Learning
25. Anomalous Payload-based Network Intrusion Detection
26. Polonium: Tera-Scale Graph Mining for Malware Detection
27. A Survey On Machine Learning For Cyber Security
28. Machine Learning for Cyber Security using Big Data Analytics
29. Dimension Reduction in Network Attacks Detection Systems
30. Machine Learning Algorithms in Cyber Security
31. SoK: Security and Privacy in Machine Learning
32. Toward AI Security: Global Aspirations for a More Resilient Future
33. A Survey of Data Mining and Machine Learning Methods for Cyber Security Intrusion Detection
34. Generations of Machine Learning in Cybersecurity
35. Automation and Analytics versus the Chaos of Cybersecurity Operations
36. A survey of cyber security operations based on Machine learning and Deep learning
37. The Impact of Artificial Intelligence on Security: a Dual Perspective
38. Machine Learning in the Age of Cyber AI: A Review of Machine Learning Approaches for Cyber Security and Darktrace’s Underlying Technology
39. Artificial Intelligence
40. Intelligent Security Measures for Smart Cyber-Physical Systems
41. Machine Learning in Vulnerability Assessment
42. Customizing Machine Learning to Combat Cyberattacks
43. A Review of the Advances in Cyber Security Benchmark Datasets for Evaluating Data-Driven based Intrusion Detection Systems
44. Is Machine Learning Cybersecurity’s Silver Bullet?
45. Cyber Security in the Energy Sector
46. Cybersecurity Research: Challenges and Course of Action
47. IOT Security and the Role of AI/ML to Combat Emerging Cyber Threats in Cloud Computing Environment
48. Feasibility of Supervised Machine Learning for Cloud Security
49. Bitcoin Concepts, Threats, and Machine-Learning Security Solutions
50. Optimal Machine Learning Algorithms for Cyber Threat Detection
51. Securing the Internet of Things in the Age of Machine Learning and Software-defined Networking
52. Security Gets Smart with AI
53. The Future of Cybersecurity in Asia Pacific and Japan – Culture, Efficiency, Awareness
54. The Benefits of Artificial Intelligence in Cybersecurity
55. Valuing Cybersecurity Research Datasets
56. Deep Reinforcement Learning for Cyber Security
57. Machine learning-based adaptive intelligence: The future of cybersecurity
58. Report on AI and IoT in Security Aspects

The papers can be found here:

• https://github.com/Ma3k4H3d/Papers
• https://github.com/kdemertzis/Cyber-Security-Datasets
• https://github.com/manjunath5496/ML-for-Cyber-Security-Papers
• https://github.com/manjunath5496/Cyber-Security-ML-Papers
• https://github.com/juliocesarfort/natsec-cyberops-papers
• https://github.com/ruxiz2020/cyber-security-reading

Enjoy!