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The article discusses the development of an AI-based automated attack planner designed to assess cyber risks to critical infrastructure in smart cities, which increasingly rely on interconnected industrial control systems (ICS). It highlights the challenges local governments face in understanding and securing these systems from cyberattacks, and proposes using AI to generate attack trees that identify potential vulnerabilities. The research aims to create a standardized methodology for evaluating and securi

Author

mixedup103

Language

EN