AI-Driven Hardware Security

AI in modern computing systems transforms how hardware security is ed and defended. AI-driven hardware security utilizes machine learning and intelligent algorithms to detect threats, predict vulnerabilities, and respond to attacks at the hardware level. By enabling adaptive, real-time protection against sophisticated attacks, AI introduces a proactive security tactic that evolves with new threats. This convergence of AI and hardware security safeguards critical infrastructure, IoT devices, and next-generation computing platforms. AI-Driven Hardware Security: Architectures, Chips, and Trust explores how AI-driven technologies redefine chip , semiconductor architecture, and trusted hardware systems in the modern computing era. It investigates both the opportunities and challenges arising from integrating AI into hardware verification, cryptographic module , side-channel attack prevention, and system reliability. This book covers topics such as computer security, federated learning, and supply chains, and is a useful resource for computer engineers, security professionals, academicians, researchers, and scientists.