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zhixin p mishra p explainable ai cybersecurity 2023

Type:: E-books
Files:: 1
Size:: 12.4 MB
Uploaded On:: Dec. 21, 2023, 1:16 p.m.
Added By:: andryold1
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Info Hash:: 312B3B426AED947C021CE4705A565B55099C60A3

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

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Zhixin P., Mishra P. Explainable AI for Cybersecurity 2023.pdf 12.4 MB

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zhixin p mishra p explainable ai cybersecurity 2023