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An Enhanced Risk-Assessment Methodology for Smart Grids
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
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2017 (English)In: Computer, ISSN 0018-9162, E-ISSN 1558-0814, Vol. 50, no 4, 62-71 p.Article in journal (Refereed) Published
Abstract [en]

Cyberattacks on power grids are pushing threat and risk assessment to another complexity level. As part of its scope, the EU's Security for Smart Electricity Grids (SEGRID) project was tasked with building on existing methods to address the interdependencies characteristic of a smart grid. The authors describe the resulting methodology.

Place, publisher, year, edition, pages
IEEE COMPUTER SOC , 2017. Vol. 50, no 4, 62-71 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-210387DOI: 10.1109/MC.2017.106ISI: 000403456700011Scopus ID: 2-s2.0-85018988372OAI: oai:DiVA.org:kth-210387DiVA: diva2:1119464
Note

QC 20170704

Available from: 2017-07-04 Created: 2017-07-04 Last updated: 2017-07-04Bibliographically approved

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