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dc.contributor.authorKampová, Katarína
dc.contributor.authorLoveček, Tomáš
dc.contributor.authorŘehák, David
dc.date.accessioned2021-01-20T09:22:06Z
dc.date.available2021-01-20T09:22:06Z
dc.date.issued2020
dc.identifier.citationInternational Journal of Critical Infrastructure Protection. 2020, vol. 30, art. no. 100376.cs
dc.identifier.issn1874-5482
dc.identifier.issn2212-2087
dc.identifier.urihttp://hdl.handle.net/10084/142573
dc.description.abstractThe robustness of the critical infrastructure system is determined by the validity and vulnerability of its individual elements and the links between them. For this reason, these elements are the basic building blocks of the system, which must be protected from security threats. The level of their physical protection is currently assessed through quantitative models of physical protection systems (PPS). However, these models are now obsolete because they do not allow the integration of new dynamic parameters. For this reason, the article focuses on the implementation of the Bayesian updating method in the PPS model development, which will allow the exact involvement of new information obtained during the PPS life. The application of Bayesian updating to software tools allows recalculation of individual values of input parameters and thus obtaining increasingly realistic information about the efficiency of the PPS system. This information can be used to modify the structure and adopt protection measures in relation to the set limit values of the output parameters of the security assessment. The created use case shows an example of the procedure of developing and assessing a quantitative PPS model on a selected element of water critical infrastructure using software support.cs
dc.language.isoencs
dc.publisherElseviercs
dc.relation.ispartofseriesInternational Journal of Critical Infrastructure Protectioncs
dc.relation.urihttp://doi.org/10.1016/j.ijcip.2020.100376cs
dc.rights© 2020 Elsevier B.V. All rights reserved.cs
dc.subjectcritical infrastructurecs
dc.subjectprotectioncs
dc.subjectphysical protection systemscs
dc.subjectquantitative approachcs
dc.subjectBayesian updatingcs
dc.titleQuantitative approach to physical protection systems assessment of critical infrastructure elements: Use case in the Slovak Republiccs
dc.typearticlecs
dc.identifier.doi10.1016/j.ijcip.2020.100376
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume30cs
dc.description.firstpageart. no. 100376cs
dc.identifier.wos000587756000004


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