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Integration of AI and IoT Approaches for Evaluating Cybersecurity Risk on Smart City

Abstract:

Cities have adopted the smart city model based on decision-making to maintain their sustainability and resilience. The decision-making process on a smart city is based on data generated in real-time for the city’s senzorization layer of physical components. For this goal, the digital abstraction of the physical aspects of city using digital twin to simulate scenarios to understand behaviors of a particular event. This study analyzes the use of artificial intelligence techniques and the IoT used in digital twin approaches to analyze cybersecurity risks in the smart city environment.