Cyber security papers 2021 list

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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:

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