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dc.contributor.authorAkbarzadeh, Aida
dc.contributor.authorKatsikas, Sokratis K.
dc.date.accessioned2021-03-03T08:37:59Z
dc.date.available2021-03-03T08:37:59Z
dc.date.created2021-03-02T17:36:56Z
dc.date.issued2021
dc.identifier.citationSensors. 2021, 21 (5), .en_US
dc.identifier.issn1424-8220
dc.identifier.urihttps://hdl.handle.net/11250/2731306
dc.description.abstractContemporary Critical Infrastructures (CIs), such as the power grid, comprise cyber physical systems that are tightly coupled, to form a complex system of interconnected components with interacting dependencies. Modelling methodologies have been suggested as proper tools to provide better insight into the dependencies and behavioural characteristics of these complex systems. In order to facilitate the study of interconnections in and among critical infrastructures, and to provide a clear view of the interdependencies among their cyber and physical components, this paper proposes a novel method, based on a graphical model called Modified Dependency Structure Matrix (MDSM). The MDSM provides a compact perspective of both inter-dependency and intra-dependency between subsystems of one complex system or two distinct systems. Additionally, we propose four parameters that allow the quantitative assessment of the characteristics of dependencies, including multi-order dependencies in large scale CIs. We illustrate the workings of the proposed method by applying it to a micro-distribution network based on the G2ELAB 14-Bus model. The results provide valuable insight into the dependencies among the network components and substantiate the applicability of the proposed method for analyzing large scale cyber physical systems.en_US
dc.language.isoengen_US
dc.publisherMDPIen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleIdentifying and Analyzing Dependencies in and among Complex Cyber Physical Systemsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.volume21en_US
dc.source.journalSensorsen_US
dc.source.issue5en_US
dc.identifier.doi10.3390/s21051685
dc.identifier.cristin1895008
dc.description.localcodeThis is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly citeden_US
dc.source.articlenumber1685en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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