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

Gustavo Gonzalez-Granadillo, Elena Doynikova, Igor Kotenko, Joaquin Garcia-Alfaro

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationFoundations and Practice of Security - 10th International Symposium, FPS 2017, Revised Selected Papers
EditorsAbdessamad Imine, Jose M. Fernandez, Luigi Logrippo, Jean-Yves Marion, Joaquin Garcia-Alfaro
PublisherSpringer Verlag
Pages293-302
Number of pages10
ISBN (Print)9783319756493
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event10th International Symposium on Foundations and Practice of Security, FPS 2017 - Nancy, France
Duration: 23 Oct 201725 Oct 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10723 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Symposium on Foundations and Practice of Security, FPS 2017
Country/TerritoryFrance
CityNancy
Period23/10/1725/10/17

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