Attribute Repair for Threat Prevention

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

*Korrespondierende/r Autor/-in für diese Arbeit

Publikation: Beitrag in Buch/Bericht/KonferenzbandBeitrag in einem KonferenzbandBegutachtung

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.

Originalspracheenglisch
TitelComputer Safety, Reliability, and Security - 42nd International Conference, SAFECOMP 2023, Proceedings
Redakteure/-innenJérémie Guiochet, Stefano Tonetta, Friedemann Bitsch
Herausgeber (Verlag)Springer Science and Business Media Deutschland GmbH
Seiten135-148
Seitenumfang14
ISBN (Print)9783031409226
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung42nd International Conference on Computer Safety, Reliability and Security: SAFECOMP 2023 - Toulouse, Frankreich
Dauer: 20 Sept. 202322 Sept. 2023

Publikationsreihe

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Band14181 LNCS
ISSN (Print)0302-9743
ISSN (elektronisch)1611-3349

Konferenz

Konferenz42nd International Conference on Computer Safety, Reliability and Security
KurztitelSAFECOMP 2023
Land/GebietFrankreich
OrtToulouse
Zeitraum20/09/2322/09/23

ASJC Scopus subject areas

  • Theoretische Informatik
  • Allgemeine Computerwissenschaft

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