On synergies of cyber and physical security modelling in vulnerability assessment of railway systems
Resumen: 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.
Idioma: Inglés
DOI: 10.1016/j.compeleceng.2015.07.011
Año: 2015
Publicado en: COMPUTERS & ELECTRICAL ENGINEERING 47 (2015), 275-285
ISSN: 0045-7906

Factor impacto JCR: 1.084 (2015)
Categ. JCR: COMPUTER SCIENCE, HARDWARE & ARCHITECTURE rank: 24 / 51 = 0.471 (2015) - Q2 - T2
Categ. JCR: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS rank: 73 / 104 = 0.702 (2015) - Q3 - T3
Categ. JCR: ENGINEERING, ELECTRICAL & ELECTRONIC rank: 147 / 253 = 0.581 (2015) - Q3 - T2

Factor impacto SCIMAGO:

Tipo y forma: Article (PostPrint)
Área (Departamento): Lenguajes y Sistemas Informáticos (Departamento de Informática e Ingeniería de Sistemas)

Creative Commons You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.


Exportado de SIDERAL (2016-07-01-08:56:15)

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Articles > Artículos por área > Lenguajes y Sistemas Informáticos



 Record created 2016-07-01, last modified 2017-03-27


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