Quantitative evaluation of attack/defense scenarios through Decision Network modelling and analysis

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Abstract

We exploit Decision Networks (DN) for the analysis of attack/defense scenarios. DN extend both the modeling and the analysis capabilities of formalisms based on Attack Trees, which are the main reference model in such a context. In particular, DN can naturally address uncertainty at every level, including the interaction level of attacks and countermeasures, making possible the modeling of situations which are not limited to Boolean combinations of events. Furthermore, inference algorithms can be exploited for a probabilistic analysis with the goal of assessing the risk and the importance of the attacks (with respect to specific sets of countermeasures), and selecting the optimal set (with respect to a specific objective function) of countermeasures to activate.

Lingua originaleInglese
Titolo della pubblicazione ospiteProceedings - 2014 International Carnahan Conference on Security Technology, ICCST 2014
EditorFabio Garzia, Fabio Garzia, Fabio Garzia, Gordon Thomas, Daniel A. Pritchard
EditoreInstitute of Electrical and Electronics Engineers Inc.
EdizioneOctober
ISBN (elettronico)9781479935321
DOI
Stato di pubblicazionePubblicato - 15 dic 2014
Evento48th Annual IEEE International Carnahan Conference on Security Technology, ICCST 2014 - Rome, Italy
Durata: 13 ott 201416 ott 2014

Serie di pubblicazioni

NomeProceedings - International Carnahan Conference on Security Technology
NumeroOctober
Volume2014-October
ISSN (stampa)1071-6572

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???event.eventtypes.event.conference???48th Annual IEEE International Carnahan Conference on Security Technology, ICCST 2014
Paese/TerritorioItaly
CittàRome
Periodo13/10/1416/10/14

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