Intelligent Cybersecurity in the AI-IoT Era: Architectures, Threats, and Directions

This book explores cybersecurity in the age of AI and IoT, delving into next-generation threats and intelligent defense mechanisms. Bridging foundational knowledge with real-world applications, it provides a comprehensive roadmap for researchers, academicians, and industry professionals striving to secure evolving digital landscapes. With the rapid convergence of smart technologies, cyber-physical systems and machine learning algorithms, traditional approaches to cybersecurity are no longer sufficient. This book introduces advanced topics such as federated learning, post-quantum cryptography, blockchain security, zero trust architectures, and anomaly detection using deep learning models. Structured in four thematic sections—foundations, intelligent threats and defences, applications, and advanced research—the chapters are authored by global experts and enriched with case studies from critical sectors like healthcare, smart cities, and autonomous systems.