Automatic Discovery of Cyberattacks

We present a method for an automatic discovery of cyberattacks in a distributed information system. The method creates a formal model of branching propagation of the attacker from the specification of software and hardware architecture enriched with multi-faceted access control information. The ensuing network of automata, decorated with unitary attack costs, enables a vast range of model checking techniques, in particular the search for the most efficient attack strategies. The model is expressive enough to cover a wide range of attack and defence approaches, like false data injection or redundant data sources.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/csr61664.2024.10679497
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
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article

Automatic Discovery of Cyberattacks

Hanna Klaudel, Guillaume Hutzler, Franck Pommereau, Witold Klaudel et al.
Advanced Malware Detection Techniques
article

Automatic Discovery of Cyberattacks

Hanna Klaudel, Guillaume Hutzler, Franck Pommereau, Witold Klaudel, Artur Rataj
article en

Abstract

We present a method for an automatic discovery of cyberattacks in a distributed information system. The method creates a formal model of branching propagation of the attacker from the specification of software and hardware architecture enriched with multi-faceted access control information. The ensuing network of automata, decorated with unitary attack costs, enables a vast range of model checking techniques, in particular the search for the most efficient attack strategies. The model is expressive enough to cover a wide range of attack and defence approaches, like false data injection or redundant data sources.

Vol. 80
Université Paris-Saclay (FR), Institut de Recherche Technologique SystemX (FR), Informatique, BioInformatique, Systèmes Complexes (FR), Université d'Évry Val-d'Essonne (FR)
Openalex Percentile: Top 88%
Advanced Malware Detection Techniques
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