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On synergies of cyber and physical security modelling in vulnerability assessment of railway systems
Seconda Università di Napoli, Italy.
University of León, Spain.
Università di Napoli “Federico II”, Italy.
Ansaldo STS, Italy. (CPS)ORCID-id: 0000-0002-2833-7196
Vise andre og tillknytning
2015 (engelsk)Inngår i: Computers & electrical engineering, ISSN 0045-7906, E-ISSN 1879-0755, Vol. 47, s. 275-285Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The multifaceted nature of cyber-physical systems needs holistic study methods to detect essential aspects and interrelations among physical and cyber components. Like the systems themselves, security threats feature both cyber and physical elements. Although to apply divide et impera approaches helps handling system complexity, to consider just one aspect at a time does not provide adequate risk awareness and hence does not allow to design the most appropriate countermeasures. To support this claim, in this paper we provide a joint application of two model-driven techniques for physical and cyber-security evaluation. We apply two UML profiles, namely SecAM (for cyber-security) and CIP-VAM (for physical security), in combination. In such a way, we demonstrate the synergy between both profiles and the need for their tighter integration in the context of a reference case study from the railway domain. Graphical abstract © 2015 Elsevier Ltd.

sted, utgiver, år, opplag, sider
Elsevier, 2015. Vol. 47, s. 275-285
Emneord [en]
Bayesian networks, Cyber-physical systems, Generalized stochastic Petri nets, UML profile, Vulnerability assessment, Complex networks, Embedded systems, Markup languages, Mergers and acquisitions, Petri nets, Railroads, Risk perception, Stochastic systems, Unified Modeling Language, Cyber physical systems (CPSs), Model-driven techniques, Physical and cyber security, Physical elements, Physical security, Uml profiles, Vulnerability assessments, Railroad transportation
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Forskningsprogram
Datavetenskap, Programvaruteknik
Identifikatorer
URN: urn:nbn:se:lnu:diva-73649DOI: 10.1016/j.compeleceng.2015.07.011Scopus ID: 2-s2.0-84939487175OAI: oai:DiVA.org:lnu-73649DiVA, id: diva2:1213274
Tilgjengelig fra: 2018-06-04 Laget: 2018-06-04 Sist oppdatert: 2019-03-07bibliografisk kontrollert

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