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Integrated multi-domain risk assessment using automated hypothesis testing
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.ORCID iD: 0000-0001-7386-7471
2017 (English)In: Proceedings - 2017 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, CPSR-SG 2017 (part of CPS Week), Association for Computing Machinery, Inc , 2017, 55-60 p.Conference paper (Refereed)
Abstract [en]

In this paper we present an approach for the integration of cyberse-curity tools from multiple domains into an overall risk assessment framework which takes the complex interactions between domains in smart grid systems into account. The approach is based on generating hypotheses from a template, which are then analyzed for their probability and associated impact on the system. The feasibility of the proposed approach is discussed using a very simple example case to serve as a proof of concept. Furthermore, we introduce a generic software framework for the processing of hypothesis templates.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2017. 55-60 p.
Keyword [en]
Cybersecurity, Distributed energy resources, Distribution grid, Hypothesis testing, Intrusion detection, Power system, Risk assessment, Computer programming, Electric power transmission networks, Energy resources, Smart power grids, Cyber security
National Category
Energy Engineering
Identifiers
URN: urn:nbn:se:kth:diva-216530DOI: 10.1145/3055386.3055398Scopus ID: 2-s2.0-85019024337ISBN: 9781450349789 OAI: oai:DiVA.org:kth-216530DiVA: diva2:1160926
Conference
2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids, CPSR-SG 2017, 21 April 2017
Note

QC 20171128

Available from: 2017-11-28 Created: 2017-11-28 Last updated: 2017-11-28Bibliographically approved

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Korman, Matus

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Citation style
  • apa
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  • modern-language-association-8th-edition
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Language
  • de-DE
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  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
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