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

Abstract : 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.
Keywords : Bayesian Networks
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00856707
Contributor : Magalie Prudon <>
Submitted on : Monday, September 2, 2013 - 11:56:15 AM
Last modification on : Tuesday, June 29, 2021 - 2:50:06 PM

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  • HAL Id : hal-00856707, version 1

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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, Union Radio-Scientifique Internationale (URSI), 2013, 345 (Disaster Management special issue), pp.21-34. ⟨hal-00856707⟩

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