Textbook in PDF format

This book provides a comprehensive overview of security vulnerabilities and state-of-the-art countermeasures using explainable artificial intelligence (AI). Specifically, it describes how explainable AI can be effectively used for detection and mitigation of hardware vulnerabilities (e.g., hardware Trojans) as well as software attacks (e.g., malware and ransomware). It provides insights into the security threats towards machine learning models and presents effective countermeasures. It also explores hardware acceleration of explainable AI algorithms. The reader will be able to comprehend a complete picture of cybersecurity challenges and how to detect them using explainable AI. This book serves as a single source of reference for students, researchers, engineers, and practitioners for designing secure and trustworthy systems.
Preface
Acronyms
Introduction
Cybersecurity Landscape for Computer Systems
Explainable Artificial Intelligence
Detection of Software Vulnerabilities
Malware Detection Using Explainable AI
Spectre and Meltdown Detection Using Explainable AI
Detection of Hardware Vulnerabilities
Hardware Trojan Detection Using Reinforcement Learning
Hardware Trojan Detection Using Side-Channel Analysis
Hardware Trojan Detection Using Shapley Ensemble Boosting
Mitigation of AI Vulnerabilities
Mitigation of Adversarial Machine Learning
AI Trojan Attacks and Countermeasures
Acceleration of Explainable AI
Hardware Acceleration of Explainable AI
Explainable AI Acceleration Using Tensor Processing Units
Conclusion
The Future of AI-Enabled Cybersecurity
Index