Beschreibung
This book provides an effective guide to hardware security, presenting both conventional countermeasures and advanced AI-driven strategies for preventing, detecting, and mitigating security vulnerabilities. Topics covered include secure design practices, access control, obfuscation, Physically Unclonable Functions (PUFs), True Random Number Generators (TRNGs), side-channel analysis, and formal verification methods. The integration of AI and biologically inspired approaches, such as Artificial Immune Systems, is explored as a transformative tool for adaptive, self-learning defenses that enhance detection and response capabilities. Intended for engineers, researchers, and security-conscious professionals, this book equips readers with practical insights and methodologies to protect modern digital systems against evolving hardware threats, ensuring reliability, trust, and resilience in an increasingly interconnected world.
Autorenporträt
Khaled Mohammed received his B.Sc. (2003), M.Sc. (2008), and Ph.D. (2012) in Electronics and Communications Engineering from Ain Shams University, and an MBA in 2016. He specializes in SoC design, hardware emulation, and system integration, with over 180 publications, patents, and books. His research interests include 3D integration, AI/ML, and IoT, and he is a Senior Member of IEEE.
Herstellerkennzeichnung:
Springer Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE
E-Mail: juergen.hartmann@springer.com
