Description
Book SynopsisThis 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.
Table of ContentsPart 1 Introduction Chapter 1 Cybersecurity Landscape for Computer Systems Chapter 2 Explainable Artificial Intelligence Part 2 Detection of Software Vulnerabilities Chapter 3 Malware Detection using Explainable AI Chapter 4 Spectre and Meltdown Detection using Explainable AI Part 3 Detection of Hardware Vulnerabilities Chapter 5 Hardware Trojan Detection using Reinforcement Learning Chapter 6 Hardware Trojan Detection using Side-Channel Analysis Chapter 7 Hardware Trojan Detection using Shapley Ensemble Boosting Part 4 Mitigation of AI Vulnerabilities Chapter 8 Mitigation of Adversarial Machine Learning Chapter 9 AI Trojan Attacks and Countermeasures Part 5 Acceleration of Explainable AI Chapter 10 Hardware Acceleration of Explainable AI Chapter 11 Explainable AI Acceleration using Tensor Processing Units Part 6 Conclusion Chapter 12 The Future of AI-Enabled Cybersecurity
