Abstract
Urban cyber-physical systems (CPS) are increasingly targeted by sophisticated cyber attacks that threaten their operational resilience. This paper proposes a game-theoretic framework to model and enhance the resilience of urban CPS against a spectrum of cyber threats, including false data injection, denial-of-service, and replay attacks. The framework integrates attacker-defender and defender-defender game models to capture strategic interactions and resource allocation dynamics. We validate the approach through simulation experiments on a representative urban traffic control system, using data from a mid-sized smart city. Results demonstrate that the proposed game-theoretic defense mechanism significantly improves system resilience, reducing the impact of attacks by up to 40% compared to baseline strategies. Key findings highlight the importance of adaptive resource allocation and information sharing among defenders. The study contributes a novel analytical tool for urban informatics, offering practical insights for designing resilient cyber-physical infrastructures.