Bayesian Networks and Monte Carlo Simulations in the Evaluation of the Risk of Terrorism for the Colombian Electrical Infrastructure

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dc.contributor.authorÁlvaro Pastor Torres
dc.contributor.authorPiedad Santos
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T15:19:16Z
dc.date.available2026-03-22T15:19:16Z
dc.date.issued2006
dc.descriptionCitaciones: 2
dc.description.abstractThe aim of this paper is to propose a probabilistic method to assess the level of exposure and consequences due to terrorist attacks on electrical substations or other electrical infrastructure assets. The proposed method of inference and simulation allow us to establish a risk-ranking list for the electrical infrastructure assets. The proposed method is based on Bayesian networks, using causality relationship and conditional probabilities to determine the probability of the attacks associated to each one of the substations and to quantify the damage or loss associated to those possible attacks
dc.identifier.doi10.1109/pmaps.2006.360264
dc.identifier.urihttps://doi.org/10.1109/pmaps.2006.360264
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/51683
dc.language.isoen
dc.sourceUniversidad de Los Andes
dc.subjectCausality (physics)
dc.subjectMonte Carlo method
dc.subjectBayesian network
dc.subjectComputer science
dc.subjectRanking (information retrieval)
dc.subjectBayesian inference
dc.subjectInference
dc.subjectProbabilistic logic
dc.subjectConditional probability
dc.subjectBayesian probability
dc.titleBayesian Networks and Monte Carlo Simulations in the Evaluation of the Risk of Terrorism for the Colombian Electrical Infrastructure
dc.typearticle

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