Enhancing attack resilience of cyber-physical systems through state dependency graph models

Abstract This paper presents a method that utilizes graph theory and state modelling algorithms to perform automatic complexity analysis of the architecture cyber-physical systems (CPS). It describes cyber physical risk assessment (CPSRA), tool provide decision support for enhancing overall resilience CPS architectures often used in critical infrastructures. CPRSA is built enhance industrial improve against malicious attacks on domain can affect processes, which distributed environment. Such compromise execution states components lead hazards or even disasters through plant malfunction. CPSRA tested real-world testbed model large SCADA system infused with CVE vulnerabilities some its components. The creates an isomorphic process uses network analytics test cyber-attacks evaluate attack aspects. tool’s output then pinpoint high-complexity terms influence suggest mitigation points security measure implementation while considering every potential subattack path subliminal model’s graph. complements standardized reports contributes infrastructure environments be as basis dependencies threat propagation larger digital twins, need outlined major NIST publications concerning was previously done manually, without insight into vulnerability influences.