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Explainable AI for Cybersecurity

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...

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Bibliographic Details
Main Authors: Pan, Zhixin, Mishra, Prabhat (Author)
Format: eBook
Language:English
Published: Cham Springer Nature Switzerland 2023, 2023
Edition:1st ed. 2023
Subjects:
Electronics Design And Verification
Embedded Systems
Embedded Computer Systems
Computational Intelligence
Artificial Intelligence
Electronic Circuit Design
Electronic Circuits
Data Protection
Electronic Circuits And Systems
Data And Information Security
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Part 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

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