A Data-Driven Cyber Resilience Assessment for Industrial Plants

Cyber-Physical Systems (CPSs) are becoming more integrated into smart industrial assets. CPS however are increasingly exposed to external vulnerabilities, beyond technical failures, i.e., cyber attacks, due to their complex structure that combines cyber, cyber-physical, and physical components. Operationalizing the notion of cyber resilience represents a solution to deal with this family of problems. In this study, a methodology to assess the resilience of CPSs is presented and instantiated on dataset referred to SWaT (Secure Water Treatment) testbed data to show its effectiveness in a particular application. Two metrics are calculated to quantify the resilience of the system under analysis. The obtained results gives suggestions for the resilient design and management of CPSs.