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An ontological metamodel for cyber-physical system safety, security, and resilience coengineering

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dc.contributor.authorBakirtzis, Georgiosen
dc.contributor.authorSherburne, Timen
dc.contributor.authorAdams, Stephen C.en
dc.contributor.authorHorowitz, Barry M.en
dc.contributor.authorBeling, Peter A.en
dc.contributor.authorFleming, Cody H.en
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.contributor.departmentHume Center for National Security and Technologyen
dc.date.accessioned2021-07-27T12:35:49Zen
dc.date.available2021-07-27T12:35:49Zen
dc.date.issued2021-06-01en
dc.description.abstractCyber-physical systems are complex systems that require the integration of diverse software, firmware, and hardware to be practical and useful. This increased complexity is impacting the management of models necessary for designing cyber-physical systems that are able to take into account a number of "-ilities", such that they are safe and secure and ultimately resilient to disruption of service. We propose an ontological metamodel for system design that augments an already existing industry metamodel to capture the relationships between various model elements (requirements, interfaces, physical, and functional) and safety, security, and resilient considerations. Employing this metamodel leads to more cohesive and structured modeling efforts with an overall increase in scalability, usability, and unification of already existing models. In turn, this leads to a mission-oriented perspective in designing security defenses and resilience mechanisms to combat undesirable behaviors. We illustrate this metamodel in an open-source GraphQL implementation, which can interface with a number of modeling languages. We support our proposed metamodel with a detailed demonstration using an oil and gas pipeline model.en
dc.description.notesThis material is based, in part, upon work supported by the Stevens Institute of Technology through SERC under USDOD Contract HQ0034-13-D-0004. SERC is a federally funded University affiliated research center managed by Stevens Institute of Technology. Any opinions, findings and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the USDOD.en
dc.description.sponsorshipStevens Institute of Technology through SERC under USDOD Contract [HQ0034-13-D-0004]; SERCAgency for Science Technology & Research (ASTAR)en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1007/s10270-021-00892-zen
dc.identifier.eissn1619-1374en
dc.identifier.issn1619-1366en
dc.identifier.urihttp://hdl.handle.net/10919/104404en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleAn ontological metamodel for cyber-physical system safety, security, and resilience coengineeringen
dc.title.serialSoftware and Systems Modelingen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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