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Wednesday, 18 July 2018

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Pubblication Details
Authors:Daniele Codetta Raiteri
Luigi Portinale
Scientific Area:Diagnosis
Knowledge Representation
Uncertain Reasoning
Probabilistic Graphical Models
Dependability and Reliability
Title:Decision Networks for Security Risk Assessment of Critical Infrastructures
Published on:ACM Transactions on Internet Technology, vol. 18(3)
Publisher:ACM
Year:2018
Tipo Pubblicazione:Paper on International Journal
URL:https://dl.acm.org/cita...on.cfm?doid=3178391.3137570
Abstract:We exploit Decision Networks (DN) for the analysis of attack/defense scenarios in critical infrastructures. DN extend Bayesian Networks (BN) with decision and value nodes. DN inherit from BN the possibility to naturally address uncertainty at every level, making possible the modeling of situations that are not limited to Boolean combinations of events. By means of decision nodes, DN can include the interaction level of attacks and countermeasures. Inference algorithms can be directly exploited for implementing a probabilistic analysis of both the risk and the importance of the attacks. Thanks to value nodes, a sound decision theoretic analysis has the goal of selecting the optimal set of countermeasures to activate.