As smart cities continue to expand their technological infrastructure, the risk of cyber-attacks becomes a significant concern. This research paper proposes a Cyber-risk Assessment and Mitigation (CRAM) framework for smart cities, leveraging deep learning techniques. The framework aims to proactively identify and mitigate cyber risks, enhancing the security and resilience of smart city systems. Through the integration of deep learning algorithms, the CRAM framework enables dynamic risk assessment and provides actionable insights for effective mitigation strategies.

Keywords: Cyber-Risk Assessment, Mitigation Framework, Smart Cities, Deep Learning Approach.