ADTool: Security Analysis with Attack-Defense Trees

Barbara Kordy, P.T. Kordy, Sjouke Mauw, Patrick Schweitzer

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

    45 Citations (Scopus)

    Abstract

    ADTool is free, open source software assisting graphical modeling and quantitative analysis of security, using attack–defense trees. The main features of ADTool are easy creation, efficient editing, and automated bottom-up evaluation of security-relevant measures. The tool also supports the usage of attack trees, protection trees and defense trees, which are all particular instances of attack–defense trees.
    Original languageEnglish
    Title of host publication10th International Conference on Quantitative Evaluation of Systems (QEST)
    EditorsKaustubh Joshi, Markus Siegle, Mariëlle Ida Antoinette Stoelinga, P.R. d' Argenio
    Place of PublicationBerlin, Germany
    PublisherSpringer
    Pages173-176
    Number of pages4
    ISBN (Electronic)978-3-642-40196-1
    ISBN (Print)978-3-642-40195-4
    DOIs
    Publication statusPublished - Aug 2013
    Event10th International Conference on Quantitative Evaluation of Systems, QEST 2013 - University of Buenos Aires, Buenos Aires, Argentina
    Duration: 27 Aug 201330 Aug 2013
    Conference number: 10
    http://www.qest.org/qest2013/

    Publication series

    NameLecture notes in computer science
    PublisherSpringer
    Volume8054
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Conference

    Conference10th International Conference on Quantitative Evaluation of Systems, QEST 2013
    Abbreviated titleQEST
    CountryArgentina
    CityBuenos Aires
    Period27/08/1330/08/13
    Internet address

    Keywords

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

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  • Cite this

    Kordy, B., Kordy, P. T., Mauw, S., & Schweitzer, P. (2013). ADTool: Security Analysis with Attack-Defense Trees. In K. Joshi, M. Siegle, M. I. A. Stoelinga, & P. R. d' Argenio (Eds.), 10th International Conference on Quantitative Evaluation of Systems (QEST) (pp. 173-176). (Lecture notes in computer science; Vol. 8054). Berlin, Germany: Springer. https://doi.org/10.1007/978-3-642-40196-1_15