Considering the increasing introduction of cyber-physical systems in modern industrial plants, the analysis of systems’ performance pushes for developing a cyber resilience perspective to complement a traditional physical resilience assessment. This point of view becomes central for critical infrastructures, considering the potential societal and economic consequences a disruption may have. This work provides a cyber-resilience simulation-based assessment for a seawater desalination plant and its connected distribution system. For this purpose, a digital twin has been developed. It integrates a MATLAB/Simulink model of the reverse osmosis treatment plant with a georeferenced water distribution network designed in EPANET. Four stochastic cyber resilience metrics have been proposed and computed to assess the impact of a successful replay cyber attack. The results exemplify the benefits of cyber-physical simulations to understand the behavior of modern water treatment plants, to identify system’s criticalities, and eventually to support decision making by identifying hotspots and prioritizing mitigating actions.

Modelling cyber resilience in a water treatment and distribution system / Patriarca, Riccardo; Simone, Francesco; Di Gravio, Giulio. - In: RELIABILITY ENGINEERING & SYSTEM SAFETY. - ISSN 0951-8320. - 226:(2022). [10.1016/j.ress.2022.108653]

Modelling cyber resilience in a water treatment and distribution system

Patriarca, Riccardo
;
Simone, Francesco;Di Gravio, Giulio
2022

Abstract

Considering the increasing introduction of cyber-physical systems in modern industrial plants, the analysis of systems’ performance pushes for developing a cyber resilience perspective to complement a traditional physical resilience assessment. This point of view becomes central for critical infrastructures, considering the potential societal and economic consequences a disruption may have. This work provides a cyber-resilience simulation-based assessment for a seawater desalination plant and its connected distribution system. For this purpose, a digital twin has been developed. It integrates a MATLAB/Simulink model of the reverse osmosis treatment plant with a georeferenced water distribution network designed in EPANET. Four stochastic cyber resilience metrics have been proposed and computed to assess the impact of a successful replay cyber attack. The results exemplify the benefits of cyber-physical simulations to understand the behavior of modern water treatment plants, to identify system’s criticalities, and eventually to support decision making by identifying hotspots and prioritizing mitigating actions.
2022
cyber-socio-technical systems; resilience management; critical infrastructure; water treatment plant; water distribution network.
01 Pubblicazione su rivista::01a Articolo in rivista
Modelling cyber resilience in a water treatment and distribution system / Patriarca, Riccardo; Simone, Francesco; Di Gravio, Giulio. - In: RELIABILITY ENGINEERING & SYSTEM SAFETY. - ISSN 0951-8320. - 226:(2022). [10.1016/j.ress.2022.108653]
File allegati a questo prodotto
File Dimensione Formato  
Patriarca_Modelling-cyber_2022.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 8.5 MB
Formato Adobe PDF
8.5 MB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1644172
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 6
social impact