Trends in AI and Social Engineering for Cyber-Physical Systems

Abstract

Trends in AI and Social Engineering for Cyber-Physical Systems presents a comprehensive examination of the convergence of Artificial Intelligence (AI), Cyber-Physical Systems (CPS), and social engineering within modern digital infrastructures. The book explores how AI enhances CPS through intelligent automation, predictive analytics, anomaly detection, and real-time decision-making while simultaneously introducing new cybersecurity challenges. It emphasizes the growing threat of AI-enabled social engineering attacks that exploit human behavior to compromise critical infrastructures, including healthcare, manufacturing, transportation, energy, and smart cities. Integrating the three pillars of People, Process, and Technology, the book discusses cybersecurity governance, risk management, incident response, encryption, AI-driven defense mechanisms, Zero Trust Architecture, blockchain, IoT security, and emerging technologies. Practical case studies, mathematical models, and real-world applications provide readers with actionable insights into securing interconnected systems. This book serves as a valuable resource for researchers, practitioners, policymakers, and students seeking resilient, ethical, and intelligent cybersecurity solutions for the evolving landscape of cyber-physical systems.