Explainable AI for Cybersecurity

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Éditeur :

Springer


Paru le : 2023-12-12

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Description
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.
Pages
243 pages
Collection
n.c
Parution
2023-12-12
Marque
Springer
EAN papier
9783031464782
EAN PDF
9783031464799

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
12790 Ko
Prix
84,39 €
EAN EPUB
9783031464799

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
24
Taille du fichier
33444 Ko
Prix
84,39 €

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