Towards Empirical Evaluation of Automated Risk Assessment Methods

Olga Gadyatskaya, Katsiaryna Labunets, Frederica Paci

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

    Abstract

    Security risk assessment methods are numerous, and it might be confusing for organizations to select one. Researchers have conducted empirical studies with established methods in order to find factors that influence their effectiveness and ease of use. In this paper we evaluate the recent TREsPASS semi-automated risk assessment method with respect to the factors identified as critical in several controlled experiments. We also argue that automation of risk assessment raises new research questions that need to be thoroughly investigated in future empirical studies.
    Original languageEnglish
    Title of host publication11th International Conference on Risks and Security of Internet and Systems, CRiSIS 2016
    Place of PublicationBerlin
    PublisherSpringer
    Pages-
    Number of pages1
    Publication statusPublished - 2016
    Event11th International Conference on Risks and Security of Internet and Systems, CRiSIS 2016 - Roscoff, France
    Duration: 5 Sep 20167 Sep 2016
    Conference number: 11
    https://conferences.telecom-bretagne.eu/crisis/2016/

    Publication series

    Name
    PublisherSpringer

    Conference

    Conference11th International Conference on Risks and Security of Internet and Systems, CRiSIS 2016
    Abbreviated titleCRISIS 2016
    CountryFrance
    CityRoscoff
    Period5/09/167/09/16
    Other5-7 September 2016
    Internet address

    Keywords

    • EC Grant Agreement nr.: FP7/318003
    • EC Grant Agreement nr.: FP7/2007-2013

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  • Cite this

    Gadyatskaya, O., Labunets, K., & Paci, F. (2016). Towards Empirical Evaluation of Automated Risk Assessment Methods. In 11th International Conference on Risks and Security of Internet and Systems, CRiSIS 2016 (pp. -). Berlin: Springer.