Enhancing Operational Resilience of Critical Infrastructure Processes through Chaos Engineering

Modern cyber-physical systems (CPS) are interdependent, mechanical and IT components that support operations in most of society’s critical infrastructures. Time again history has proven CPS vulnerable to numerous types threats, ranging from safety accidents cybersecurity malicious attacks. Current research focuses analyzing the various input vectors CPS, whether or IT, detect patch flaws vulnerabilities mitigate potential impact operation. Still, there is little work can inherently analyze software-based implementation modern with complex behavior failure modes. The only vaguely relevant approach involves an operations-based experimentation methodology NetFlix named chaos engineering (CE) tests use-cases on Content Delivery Networks (CDN) build confidence their capability withstand turbulent conditions production. Conditions range hardware failures DoS attacks, a malformed injection appearing runtime configuration parameter. Yet this was tested software based CDN, not industrial actuators parts control physical processes. In paper, we introduce novel framework combines CE digital twin (DT) technology enhance detection operational increase resilience CPS. To achieve objective, integrated into simulation phase DT models using material flow networks. This allows us assess system during stage without disrupting identify flows processes within modeled system. evaluate effectiveness our approach, conduct experiments real-world Liquefied Petroleum Gas purification process existing oil refinery Mediterranean area. results these demonstrate methods capture heightened susceptibility adverse events.