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.
Authors
- Hanna Klaudel
- Guillaume Hutzler
- Franck Pommereau (ORCID: https://orcid.org/0000-0002-9959-3699)
- Witold Klaudel
- Artur Rataj
Institutions
- Université Paris-Saclay (FR)
- Institut de Recherche Technologique SystemX (FR)
- Informatique, BioInformatique, Systèmes Complexes (FR)
- Université d'Évry Val-d'Essonne (FR)
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
- 0.00