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Keywords:
cyber-physical system; risk assessment; attack graph; graph centrality measures; Sugeno $\lambda $‐measure; fuzzy Sugeno integral; attack path
cyber-physical system; risk assessment; attack graph; graph centrality measures; Sugeno $\lambda $‐measure; fuzzy Sugeno integral; attack path
Summary:
Cyber-physical system protection against cyber-attacks is a serious problem that requires methods for assessing the cyber security risks. This paper proposes a quantitative metric to evaluate the risks of cyber-physical systems using the fuzzy Sugeno integral. The simulated attack graph, consisting of vulnerable system components, allows for obtaining various parameters for assessing the risks of attack paths characterizing the elements in the cyber and physical environment and are combined into a single quantitative assessment. Experiments are performed on a threat model using the example of a cyber-physical system for wind energy generation. The model integrates a cyber-physical network's topology and vulnerabilities, proving the proposed method's effectiveness in ensuring cyber resilience.
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