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Article dans une revue

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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Article dans une revue
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https://hal-mines-paristech.archives-ouvertes.fr/hal-00856707
Contributeur : Magalie Prudon <>
Soumis le : lundi 2 septembre 2013 - 11:56:15
Dernière modification le : jeudi 24 septembre 2020 - 17:20:28

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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. The Radio Science Bulletin, 2013, 345 (Disaster Management special issue), pp.21-34. ⟨hal-00856707⟩

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