Description
Book SynopsisPart I Preliminaries.- 1. Introduction to AI-Driven Cybersecurity and Threat Intelligence.- 2. Cybersecurity Background Knowledge: Terminologies, Attack Frameworks and Security Life Cycle.- Part II AI/XAI Methods and Emerging Technologies.- 3. Learning Technologies: Towards Machine Learning and Deep Learning for Cybersecurity.- 4. Detecting Anomalies and Multi-Attacks through Cyber Learning: An Experimental Analysis.- 5. Generative AI for Cybersecurity.- 6. Cybersecurity Data Science: Towards Advanced Analytics, Knowledge and Rule Discovery for Explainable AI Modeling.- Part III Real-World Application Areas with Research Issues.- 7. AI-Enabled Cybersecurity for IoT and Smart City Applications.- 8. AI for Enhancing ICS/OT Cybersecurity.- 9. AI for Critical Infrastructure Protection and Resilience.- 10. CyberAI: A Comprehensive Summary of AI Variants, Explainable and Responsible AI for Cybersecurity.
