Analysing non-malicious threats to urban smart grids by interrelating threats and threat taxonomies

Alexandr Vasenev, L. Montoya

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    4 Citations (Scopus)
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    A comprehensive study of the smart grid threat landscape is important for designing resilient urban grids of the future. To this end, an analysis could first cross reference threat categorizations and interrelate treat events on the basis of threat lists that complement each other. This paper show how to crossrelate threat taxonomies and analyze relations between threats and system components to reasonably link diverse threats to a smart grid. We illustrate how one can look beyond a specific threat by (1) relating threat sources from one taxonomy to threat lists from other taxonomies; (2) analyzing how threats can be cross-related to identify possible scenarios of undesirable events; and (3) assigning threat categories to system components. These steps in sequence or individually aim to provide input to threat identification and (thus) risk assessment tasks. This paper focusses on threats listed in the IRENE research project and relates them to threat taxonomies used in the AFTER and SESAME projects which focused on smart grids as well.
    Original languageUndefined
    Title of host publication2016 IEEE International Smart Cities Conference (ISC2)
    Place of PublicationPiscataway, NJ
    Number of pages4
    ISBN (Print)978-1-5090-1847-5
    Publication statusPublished - 2016
    Event2016 IEEE International Smart Cities Conference, ISC2 2016 - University of Trento - Department of Sociology and Social Research, Trento, Italy
    Duration: 12 Sept 201615 Sept 2016

    Publication series



    Workshop2016 IEEE International Smart Cities Conference, ISC2 2016
    Abbreviated titleISC2


    • SCS-Cybersecurity
    • taxonomy
    • EWI-27265
    • threat
    • IR-101624
    • Smart Grid
    • Electricity
    • METIS-318539
    • Critical Infrastructure

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