Hardware Security: Threats, Prevention, and Ai-Driven Countermeasures
暫譯: 硬體安全:威脅、防範與人工智慧驅動的對策
Mohamed, Khaled
商品描述
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.
商品描述(中文翻譯)
本書提供了一個有效的硬體安全指南,介紹了傳統的對策以及先進的人工智慧驅動策略,以防止、檢測和減輕安全漏洞。涵蓋的主題包括安全設計實踐、存取控制、混淆技術、物理不可複製函數(Physically Unclonable Functions, PUFs)、真隨機數生成器(True Random Number Generators, TRNGs)、側信道分析以及形式驗證方法。本書探討了人工智慧與生物啟發方法(如人工免疫系統)的整合,作為一種變革性工具,用於適應性、自學習的防禦,增強檢測和響應能力。
本書旨在為工程師、研究人員和重視安全的專業人士提供實用的見解和方法,幫助讀者保護現代數位系統免受不斷演變的硬體威脅,確保在日益互聯的世界中實現可靠性、信任和韌性。
作者簡介
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.
作者簡介(中文翻譯)
Khaled Mohammed 於 2003 年獲得艾因沙姆斯大學電子與通信工程學士學位 (B.Sc.),於 2008 年獲得碩士學位 (M.Sc.),並於 2012 年獲得博士學位 (Ph.D.),於 2016 年獲得工商管理碩士學位 (MBA)。他專注於系統單晶片 (SoC) 設計、硬體仿真和系統整合,擁有超過 180 篇的出版物、專利和書籍。他的研究興趣包括 3D 整合、人工智慧/機器學習 (AI/ML) 和物聯網 (IoT),並且是 IEEE 的資深會員。