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Authors: Davide Catta 1 ; Antonio Di Stasio 2 ; Jean Leneutre 1 ; Vadim Malvone 1 and Aniello Murano 3

Affiliations: 1 Télécom-Paris, Paris, France ; 2 Sapienza University of Rome, Rome, Italy ; 3 University of Naples Federico II, Naples, Italy

Keyword(s): Attack Graphs, Game Theory, Automata Theoretic Approach.

Abstract: An attack graph is a succinct representation of all the paths in an open system that allow an attacker to enter a forbidden state (e.g., a resource), besides any attempt of the system to prevent it. Checking system vulnerability amounts to verifying whether such paths exist. In this paper we reason about attack graphs by means of a game-theoretic approach. Precisely, we introduce a suitable game model to represent the interaction between the system and the attacker and an automata-based solution to show the absence of vulnerability.

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Paper citation in several formats:
Catta, D.; Di Stasio, A.; Leneutre, J.; Malvone, V. and Murano, A. (2023). A Game Theoretic Approach to Attack Graphs. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 347-354. DOI: 10.5220/0011776900003393

@conference{icaart23,
author={Davide Catta. and Antonio {Di Stasio}. and Jean Leneutre. and Vadim Malvone. and Aniello Murano.},
title={A Game Theoretic Approach to Attack Graphs},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2023},
pages={347-354},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011776900003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - A Game Theoretic Approach to Attack Graphs
SN - 978-989-758-623-1
IS - 2184-433X
AU - Catta, D.
AU - Di Stasio, A.
AU - Leneutre, J.
AU - Malvone, V.
AU - Murano, A.
PY - 2023
SP - 347
EP - 354
DO - 10.5220/0011776900003393
PB - SciTePress