Paper Info
Title
A Bayesian Network-Based Approach to the Critical Infrastructure Interdependencies Analysis.
Abstract
This paper presents a novel approach to the CI interdependencies analysis, based on the DBN formalism. An original modeling procedure is illustrated, which divides the DBN in three distinct levels: an atomic events level, a propagation level, and a services level. The first level models the adverse events that may impact on the analyzed CIs, the second one properly captures interdependencies among CIs' services and devices, and the last one allows to monitor the state of provided services. The resulting DBN permits to perform three kinds of analysis: a reliability study, which allows to find structural weaknesses of interconnected CIs, an adverse events propagation study, which highlights the role interdependency plays in the propagation of adverse events, and a failure prediction analysis, that can serve as an useful guide to the fault localization process (failures may have many different explanations due to interdependency). A specific case study provided by Israel Electric Corporation is considered, and explicative simulations are presented and discussed in detail.
Year
DOI
Venue
2012
10.1109/JSYST.2012.2190695
IEEE Systems Journal
Keywords
DocType
Volume
belief networks,critical infrastructures,Bayesian network-based approach,DBN formalism,adverse events,atomic events level,critical infrastructure interdependencies analysis,failure prediction analysis,fault localization process,modeling procedure,propagation level,reliability study,service level,Adverse events propagation,critical infrastructures,distribution grids,dynamic Bayesian networks,failure prediction,reliability,supervisory control and data acquisition
Journal
6
Issue
ISSN
Citations 
3
1932-8184
10
PageRank 
References 
Authors
0.59
7
2
Name
Order
Citations
PageRank
Alessandro Di Giorgio1447.39
Francesco Liberati26210.69