Decision Networks for modeling and analysis of attack/defense scenarios in critical infrastructures

D. Codetta-Raiteri; L. Portinale; R. Terruggia

Decision Networks for modeling and analysis of attack/defense scenarios in critical infrastructures

Dipartimento di Scienze e Innovazione Tecnologica

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno › peer review

Abstract

We propose to exploit Decision Networks (DN) for the analysis of attack/defense scenarios. We show that 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. Uncertainty can be addressed at every system level and a decision-theoretic analysis of the risk and of the selection of the best countermeasures can be implemented, by exploiting standard inference algorithms on DN.

Lingua originale	Inglese
Pagine	24-27
Numero di pagine	4
Stato di pubblicazione	Pubblicato - 2014
Evento	27th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014 - Pensacola, United States Durata: 21 mag 2014 → 23 mag 2014

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???event.eventtypes.event.conference???	27th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014
Paese/Territorio	United States
Città	Pensacola
Periodo	21/05/14 → 23/05/14

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title = "Decision Networks for modeling and analysis of attack/defense scenarios in critical infrastructures",

abstract = "We propose to exploit Decision Networks (DN) for the analysis of attack/defense scenarios. We show that 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. Uncertainty can be addressed at every system level and a decision-theoretic analysis of the risk and of the selection of the best countermeasures can be implemented, by exploiting standard inference algorithms on DN.",

author = "D. Codetta-Raiteri and L. Portinale and R. Terruggia",

note = "Publisher Copyright: Copyright {\textcopyright} 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 27th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014 ; Conference date: 21-05-2014 Through 23-05-2014",

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Decision Networks for modeling and analysis of attack/defense scenarios in critical infrastructures. / Codetta-Raiteri, D.; Portinale, L.; Terruggia, R.
2014. 24-27 Articolo presentato al 27th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014, Pensacola, United States.

Risultato della ricerca: Contributo alla conferenza › Contributo in Atti di Convegno › peer review

TY - CONF

T1 - Decision Networks for modeling and analysis of attack/defense scenarios in critical infrastructures

AU - Codetta-Raiteri, D.

AU - Portinale, L.

AU - Terruggia, R.

PY - 2014

Y1 - 2014

N2 - We propose to exploit Decision Networks (DN) for the analysis of attack/defense scenarios. We show that 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. Uncertainty can be addressed at every system level and a decision-theoretic analysis of the risk and of the selection of the best countermeasures can be implemented, by exploiting standard inference algorithms on DN.

AB - We propose to exploit Decision Networks (DN) for the analysis of attack/defense scenarios. We show that 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. Uncertainty can be addressed at every system level and a decision-theoretic analysis of the risk and of the selection of the best countermeasures can be implemented, by exploiting standard inference algorithms on DN.

UR - https://www.scopus.com/pages/publications/84923902618

M3 - Paper

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EP - 27

T2 - 27th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2014

Y2 - 21 May 2014 through 23 May 2014

ER -

Decision Networks for modeling and analysis of attack/defense scenarios in critical infrastructures

Abstract

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