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Article Dans Une Revue Radio Science Bulletin Année : 2013

Causal Probabilistic Modeling with Bayesian Networks to Combat the Risk of Piracy Against Offshore Oil Platforms

Résumé

Pirate attacks against offshore oil platforms are multiplying. To reduce the vulnerability of this critical, highly strategic infrastructure, operators are actively investigating potential new information and communication technologies. Among the available options, techniques from artificial intelligence and, in particular, Bayesian networks offer promising avenues for research. This article describes the development and assessment of a prototype Bayesian network designed to assess the risk of attack against offshore oil platforms.

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Dates et versions

hal-00856707 , version 1 (02-09-2013)

Identifiants

  • HAL Id : hal-00856707 , version 1

Citer

Xavier Chaze, Amal Bouejla, Franck Guarnieri, Aldo Napoli. Causal Probabilistic Modeling with Bayesian Networks to Combat the Risk of Piracy Against Offshore Oil Platforms. Radio Science Bulletin, 2013, 345 (Disaster Management special issue), pp.21-34. ⟨hal-00856707⟩
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