Our research develops intelligent and adaptive cybersecurity solutions for large-scale Internet of Things (IoT), Industrial IoT, and cyber-physical systems (CPS) that support critical services and infrastructure. We investigate how connected systems can anticipate, withstand, respond to, and recover from sophisticated cyber threats, including previously unseen and coordinated attacks. Our long-term objective is to enable resilient-by-design systems that remain secure and operational even when some of their components have been compromised.

Modern CPS integrate communication networks, intelligent devices, software services, sensors, actuators, and physical processes. Their distributed nature, operational constraints, and increasing autonomy make conventional perimeter-based and static security mechanisms insufficient. Our research combines artificial intelligence, game theory, optimization, and control to design defense mechanisms capable of operating under uncertainty, resource constraints, and adversarial conditions. We pursue both fundamental and applied research, ranging from mathematical models of attacker–defender interactions to learning-enabled security mechanisms evaluated using cybersecurity datasets and experimental cyber-physical platforms.