This book systematically addresses the security and resilience of networked agent systems, from sensor networks to general multi-agent systems, against evolving cyber threats.

Distributed Security Monitoring and Resilient Cooperative Control explores techniques for distributed security monitoring to detect sparse attacks on sensors (location-fixed/varying and sparse-fixed/varying), Byzantine node/link attacks, and vulnerability-related attacks in heterogeneous sensor networks. It provides advanced solutions for finite/fixed-time monitoring convergence under nonlinear dynamics. Regarding resilient cooperative control of multi-agent systems, the book tackles the challenge of isolation against various attacks, such as false data injection and covert, non-collusive, and collusive attacks. Practical applications range from resilient smart grids and attack-resistant drones to self-healing infrastructures. Rigorous mathematical frameworks, including graph theory and matrix analysis, establish a principled link between theoretical guarantees and the security operations of real-world networked agent systems. These frameworks offer tools to fortify critical networks against unpredictable, unstructured attacks.

This book will appeal to scholars, engineers, and practitioners involved in systems engineering, control theory, cybersecurity, and artificial intelligence.