Hardware security : threats, prevention, and AI-driven countermeasures /
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 Unclo...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
[2026]
|
| Series: | Synthesis lectures on engineering, science, and technology.
|
| Subjects: |
| Summary: | 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. In addition, this book: Addresses threats across the entire hardware lifecycle, from design and fabrication to deployment and disposal Explains traditional strategies and leading-edge AI techniques for detection, prevention, and mitigation of attacks Provides actionable guidance for engineers and designers to implement hardware security in real systems. |
|---|---|
| Physical Description: | 1 online resource (xv, 91 pages) : illustrations (some color). |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9783032272072 (electronic bk.) 3032272076 |
| ISSN: | 2690-0327 |