Explainable AI for Cybersecurity (eBook)

Zhixin Pan, Prabhat Mishra (Autoren)

eBook Download: PDF

2023 | 1. Auflage
243 Seiten
Springer-Verlag
978-3-031-46479-9 (ISBN)

Infos

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.

Produkt-Details

• Erscheint lt. Verlag: 12.12.2023
• Zusatzinfo: XVIII, 243 p. 113 illus., 106 illus. in color.
• Sprache: englisch
• Themenwelt: Informatik ► Netzwerke ► Sicherheit / Firewall
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Themenwelt: Technik ► Bauwesen
• Themenwelt: Technik ► Elektrotechnik / Energietechnik
• Schlagworte: Adversarial Machine Learning • Explainable machine learning • hardware security • malware detection • Trustworthy systems
• ISBN-10: 3-031-46479-6 / 3031464796
• ISBN-13: 978-3-031-46479-9 / 9783031464799