Smart Infrastructure Security Using Attack Graphs & Risk Analysis

This paper presents a framework that integrates cyber-physical systems, self-organizing device networks, and fog computing to enhance manufacturing and public life, improving resource management, productivity, and service availability. The high heterogeneity, complexity, and dynamic topology of new technologies introduce numerous cybersecurity threats. Assessing security is vital for maintaining a safe environment. Traditional risk as sessment methods fall short for modern smart technologies, necessitating new approaches. This paper proposes a method combining security indicator measurement, risk assessment, and protective measures selection based on attack graphs. An automated system for assessing security risks and selecting protective measures has been implemented.