Autonomous Security Architectures

This book, structured as an edited volume, consists of 12 chapters organized into four key themes: Theoretical Foundations, Human Factors, Application Domains, and Future Challenges. It highlights the dynamic and interdisciplinary nature of cyber deception research, offering insights into diverse application areas such as industrial control systems and AI security.

Cyber deception has emerged as a critical strategy for defending digital assets across academia, industry, and government. By creating false information, deceptive environments, or misleading signals, it aims to confuse, delay, or misdirect adversaries while simultaneously gathering intelligence on their tactics. This proactive approach shifts the traditional information advantage from attackers to defenders, strengthening cybersecurity resilience.

Designed as a foundational resource, this book is particularly valuable for students and early-career researchers seeking to understand cyber deception and identify pressing research challenges. It emphasizes the need for context-aware and adaptive strategies to counter the ever-evolving tactics of cyber adversaries. Furthermore, this book advocates for leveraging emerging technologies and interdisciplinary approaches to advance deception techniques. By addressing both current and future challenges, this volume provides a comprehensive roadmap for enhancing cyber deception strategies and fostering the development of more robust and resilient cybersecurity defences.