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A Bayesian network to manage risks of maritime piracy against offshore oil fields

机译:贝叶斯网络管理海上海上油田海盗行为的风险

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摘要

In recent years, pirate attacks against shipping and oil field installations have become more frequent and more serious. This article proposes an innovative solution to the problem of offshore piracy from the perspective of the entire processing chain: from the detection of a potential threat to the implementation of a response. The response to an attack must take into account multiple variables: the characteristics of the threat and the potential target, existing protection tools, environmental constraints, etc. The potential of Bayesian networks is used to manage this large number of parameters and identify appropriate countermeasures.
机译:近年来,针对航运和油田设施的海盗袭击变得更加频繁和严重。本文从整个加工链的角度提出了一种解决海上盗版问题的创新解决方案:从发现潜在威胁到实施应对措施。对攻击的响应必须考虑多个变量:威胁和潜在目标的特征,现有的保护工具,环境限制等。贝叶斯网络的潜力用于管理大量参数并确定适当的对策。

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