Modern industrial systems increasingly rely on digital and interconnected technologies to enhance operations, coordination, and quality. While beneficial, these innovations introduce cyber vulnerabilities with potential cascading effects on physical processes. Ensuring resilience thus requires integrated approaches that consider both technical components and human interactions, shifting towards a Cyber-Socio-Technical Systems (CSTS) perspective. This paper, developed within the RESIST (RESilience management to Industrial Systems Threats) project, outlines a methodological framework for designing an integrated Digital Twin (DT) aimed at assessing and strengthening industrial resilience against cyber threats.

Bortolini, M., Di Gravio, G., Ferrari, E., Galizia, F.G., Gamberi, M., Giannone, E., et al. (2026). The RESIST Project (RESilience Management to Industrial Systems Threats): Quantifying Resilience in Industrial Plants Exposed to Cyber Attacks. Cham : Springer Science and Business Media Deutschland GmbH [10.1007/978-3-032-21469-0_31].

The RESIST Project (RESilience Management to Industrial Systems Threats): Quantifying Resilience in Industrial Plants Exposed to Cyber Attacks

Bortolini M.
;
Ferrari E.;Galizia F. G.;Gamberi M.;
2026

Abstract

Modern industrial systems increasingly rely on digital and interconnected technologies to enhance operations, coordination, and quality. While beneficial, these innovations introduce cyber vulnerabilities with potential cascading effects on physical processes. Ensuring resilience thus requires integrated approaches that consider both technical components and human interactions, shifting towards a Cyber-Socio-Technical Systems (CSTS) perspective. This paper, developed within the RESIST (RESilience management to Industrial Systems Threats) project, outlines a methodological framework for designing an integrated Digital Twin (DT) aimed at assessing and strengthening industrial resilience against cyber threats.
2026
Smart Innovation, Systems and Technologies
282
291
Bortolini, M., Di Gravio, G., Ferrari, E., Galizia, F.G., Gamberi, M., Giannone, E., et al. (2026). The RESIST Project (RESilience Management to Industrial Systems Threats): Quantifying Resilience in Industrial Plants Exposed to Cyber Attacks. Cham : Springer Science and Business Media Deutschland GmbH [10.1007/978-3-032-21469-0_31].
Bortolini, M.; Di Gravio, G.; Ferrari, E.; Galizia, F. G.; Gamberi, M.; Giannone, E.; Mazzuto, G.; Patriarca, R.; Simone, F.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1075190
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