Explainable AI for Cybersecurity

Zhixin Pan, Prabhat Mishra (Autoren)

Buch | Softcover

XVIII, 243 Seiten

2024
Springer International Publishing (Verlag)
978-3-031-46481-2 (ISBN)

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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.

Erscheinungsdatum	15.12.2024
Zusatzinfo	XVIII, 243 p. 113 illus., 106 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
Themenwelt	Technik
Schlagworte	Adversarial Machine Learning • Explainable machine learning • hardware security • malware detection • Trustworthy systems
ISBN-10	3-031-46481-8 / 3031464818
ISBN-13	978-3-031-46481-2 / 9783031464812
Zustand	Neuware