Attribute Repair for Threat Prevention

Thorsten Tarrach, Masoud Ebrahimi, Sandra König, Christoph Schmittner, Roderick Bloem, Dejan Ničković*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference paperpeer-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, Proceedings
EditorsJérémie Guiochet, Stefano Tonetta, Friedemann Bitsch
PublisherSpringer Science and Business Media Deutschland GmbH
Pages135-148
Number of pages14
ISBN (Print)9783031409226
DOIs
Publication statusPublished - 2023
Event42nd International Conference on Computer Safety, Reliability and Security: SAFECOMP 2023 - Toulouse, France
Duration: 20 Sept 202322 Sept 2023

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume14181 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference42nd International Conference on Computer Safety, Reliability and Security
Abbreviated titleSAFECOMP 2023
Country/TerritoryFrance
CityToulouse
Period20/09/2322/09/23

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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