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.

A Data-Driven Cyber Resilience Assessment for Industrial Plants / Simone, F.; Cilli, C.; Di Gravio, G.; Patriarca, R.. - 799:(2024), pp. 467-476. (Intervento presentato al convegno 11th World Conference on Information Systems and Technologies, WorldCIST 2023 tenutosi a ita) [10.1007/978-3-031-45642-8_46].

A Data-Driven Cyber Resilience Assessment for Industrial Plants

Simone F.;Cilli C.;Di Gravio G.;Patriarca R.
2024

Abstract

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.
2024
11th World Conference on Information Systems and Technologies, WorldCIST 2023
Big data; Cyber attacks; Resilience
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
A Data-Driven Cyber Resilience Assessment for Industrial Plants / Simone, F.; Cilli, C.; Di Gravio, G.; Patriarca, R.. - 799:(2024), pp. 467-476. (Intervento presentato al convegno 11th World Conference on Information Systems and Technologies, WorldCIST 2023 tenutosi a ita) [10.1007/978-3-031-45642-8_46].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1706560
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