Using Digital Twins for Modeling and Testing Cybersecurity Scenarios in Smart Cities

This paper examines the application of digital twins for modeling and testing cybersecurity scenarios in smart cities. Through comparative and inductive analysis of existing literature and technical reports, we explore how digital twin technology can address limitations in real-world cybersecurity testing of critical urban infrastructure. Key findings include the potential for high-fidelity virtual models to simulate complex cyber attack scenarios, integration of real-time data for model synchronization, and development of smart city-specific threat libraries. We propose strategies for implementing digital twin platforms that enable comprehensive virtual testing without risking actual infrastructure. While digital twins show promise for enhancing smart city cybersecurity, challenges in model fidelity and standardization remain. This research highlights digital twins as a critical tool for improving the cyber resilience of smart urban systems through advanced virtual modeling and testing.

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