Artificial Intelligence for Cybersecurity

Table of Contents

1. Big Data in Cybersecurity
2. Automation in Cybersecurity
3. Cybersecurity Data Analytics
4. AI, Machine Learning, and Statistics - A Taxonomy
5. AI Problems and Methods
6. Workflow, Tools, and Libraries in AI Projects
7. Malware and Network Intrusion Detection and Analysis
8. User and Entity Behavior Analysis
9. Fraud, Spam, and Phishing Detection
10. User Authentication and Access Control
11. Threat Intelligence
12. Anomaly Detection in Industrial Control Systems
13. Large Language Models and Cybersecurity
14. Data Quality and Its Usage in the AI and LLM Era
15. Correlation, Causation, Bias, and Variance
16. Evaluation, Monitoring, and Feedback Loop
17. Learning in a Changing and Adversarial Environment
18. Privacy, Accountability, Explainability, and Trust - Responsible AI
19. Summary