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dc.contributor.authorOmerovic, Aida
dc.contributor.authorVefsnmo, Hanne
dc.contributor.authorErdogan, Gencer
dc.contributor.authorGjerde, Oddbjørn
dc.contributor.authorGramme, Eivind
dc.contributor.authorSimonsen, Stig
dc.description.abstractPower grids are undergoing a digital transformation are therefore becoming increasingly complex. As a result of this they are also becoming vulnerable in new ways. With this development come also numerous risks. Cybersecurity is therefore becoming crucial for ensuring resilience of this infrastructure which is critical to safety of humans and societies. Risk analysis of cybersecurity in the context of smart power grids is, however, particularly demanding due to its interdisciplinary nature, including domains such as digital security, the energy domain, power networks, the numerous control systems involved, and the human in the loop. This poses special requirements to cybersecurity risk identification within smart power grids, which challenge the existing state-of-the-art. This paper proposes a customized four-step approach to identification and modelling of cybersecurity risks in the context of smart power grids. The aim is that the risk model can be presented to decision makers in a suitable interface, thereby serving as a useful support for planning, design and operation of smart power grids. The approach applied in this study is based on parts of the "CORAS" method for model-based risk analysis. The paper also reports on results and experiences from applying the approach in a realistic industrial case with a distribution system operator (DSO) responsible for hosting a pilot installation of the self-healing functionality within a power distribution grid. The evaluation indicates that the approach can be applied in a realistic setting to identify cybersecurity risks. The experiences from the case study moreover show that the presented approach is, to a large degree, well suited for its intended purpose, but it also points to areas in need for improvement and further evaluation.nb_NO
dc.relation.ispartofCOMPLEXIS 2019 - Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk 2019
dc.relation.ispartofseriesCOMPLEXIS 2019 - Proceedings of the 4th International Conference on Complexity, Future Information Systems and Risk;2019
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.subjectCyber Risknb_NO
dc.subjectSmart Power Gridsnb_NO
dc.subjectRisk Identificationnb_NO
dc.subjectRisk Analysisnb_NO
dc.titleA Feasibility Study of a Method for Identification and Modelling of Cybersecurity Risks in the Context of Smart Power Gridnb_NO
dc.typePeer reviewednb_NO
dc.rights.holderCopyright 2019 by SCITEPRESS – Science and Technology Publications, Lda. Published under a CC-BY-NC-ND 4.0 licensenb_NO
dc.relation.projectNorges forskningsråd: 257626nb_NO
cristin.unitnameSoftware and Service Innovation

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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal