Attribute Repair for Threat Prevention

    Research output: Chapter in Book or Conference ProceedingsConference Proceedings with Oral Presentationpeer-review

    Abstract

    We propose a model-based procedure for preventing security threats using formal models. We encode system models and threats as satisfiability modulo theory (SMT) formulas. This model allows us to ask security questions as satisfiability queries. We formulate threat prevention as an optimization problem over the same formulas. The outcome of our threat prevention procedure is a suggestion of model attribute repair that eliminates threats. We implement our approach using the state-of-the-art Z3 SMT solver and interface it with the threat analysis tool THREATGET. We demonstrate the value of our procedure in two case studies from automotive and smart home domains.
    Original languageEnglish
    Title of host publicationComputer Safety, Reliability, and Security - 42nd International Conference, SAFECOMP 2023, Toulouse, France, September 20-22, 2023, Proceedings
    Pages135-148
    Number of pages14
    Volume14181
    ISBN (Electronic)978-3-031-40923-3
    DOIs
    Publication statusPublished - 20 Sept 2023
    EventSAFECOMP 2023: 42nd International Conference on Computer Safety, Reliability and Security: DECSoS 2023: 18th International Workshop on Dependable Smart Embedded Cyber-Physical Systems and Systems-of-Systems - Toulouse, Toulouse, France
    Duration: 19 Sept 202322 Sept 2023
    https://safecomp2023.cnrs.fr/workshops/

    Workshop

    WorkshopSAFECOMP 2023: 42nd International Conference on Computer Safety, Reliability and Security
    Country/TerritoryFrance
    CityToulouse
    Period19/09/2322/09/23
    Internet address

    Research Field

    • Dependable Systems Engineering

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