Cyber Resilience

Cyber resilience focuses on designing and implementing systems capable of withstanding and recovering from cyberattacks. Current research emphasizes developing autonomous defense mechanisms, often employing reinforcement learning and evolutionary algorithms to optimize strategies against sophisticated attacks, particularly in dynamic environments like Active Directory networks and networked microgrids. This work is crucial for improving the security of critical infrastructure and enhancing the overall robustness of complex systems, with applications ranging from industrial control systems to maritime navigation. The integration of AI and machine learning, including large language models for improved threat detection and response, is also a growing area of focus.