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Communication Dans Un Congrès Année : 2018

Attack graph-based countermeasure selection using a stateful return on investment metric

Résumé

We propose a mitigation model that evaluates individual and combined countermeasures against multi-step cyber-attack scenarios. The goal is to anticipate the actions of an attacker that wants to disrupt a given system (e.g., an information system). The process is driven by an attack graph formalism, enforced with a stateful return on response investment metric that optimally evaluates, ranks and selects appropriate countermeasures to handle ongoing and potential attacks
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Dates et versions

hal-01740860 , version 1 (22-03-2018)

Identifiants

Citer

Gustavo Daniel Gonzalez Granadillo, Elena Doynikova, Igor Kotenko, Joaquin Garcia-Alfaro. Attack graph-based countermeasure selection using a stateful return on investment metric. FPS 2017: 10th International Symposium on Foundations and Practice of Security, Oct 2017, Nancy, France. pp.293 - 302, ⟨10.1007/978-3-319-75650-9_19⟩. ⟨hal-01740860⟩
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