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.