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Rule-based expert system for maritime anomaly detection

机译：基于规则的海上异常检测专家系统

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摘要

Maritime domain operators/analysts have a mandate to be aware of all that is happening within their areas of responsibility. This mandate derives from the needs to defend sovereignty, protect infrastructures, counter terrorism, detect illegal activities, etc., and it has become more challenging in the past decade, as commercial shipping turned into a potential threat. In particular, a huge portion of the data and information made available to the operators/analysts is mundane, from maritime platforms going about normal, legitimate activities, and it is very challenging for them to detect and identify the non-mundane. To achieve such anomaly detection, they must establish numerous relevant situational facts from a variety of sensor data streams. Unfortunately, many of the facts of interest just cannot be observed; the operators/analysts thus use their knowledge of the maritime domain and their reasoning faculties to infer these facts. As they are often overwhelmed by the large amount of data and information, automated reasoning tools could be used to support them by inferring the necessary facts, ultimately providing indications and warning on a small number of anomalous events worthy of their attention. Along this line of thought, this paper describes a proof-of-concept prototype of a rule-based expert system implementing automated rule-based reasoning in support of maritime anomaly detection.
机译：海域运营商/分析师的职责是了解其职责范围内发生的所有事件。这项授权源自捍卫主权，保护基础设施，打击恐怖主义，侦查非法活动等需求，在过去十年中，随着商业航运已成为潜在威胁，这一授权变得越来越具有挑战性。特别是，提供给运营商/分析师的数据和信息中的很大一部分是平凡的，来自海上平台进行正常，合法的活动，这对他们检测和识别非平凡的挑战非常具有挑战性。为了实现这种异常检测，他们必须从各种传感器数据流中建立许多相关的情况事实。不幸的是，许多令人关注的事实无法被观察到。因此，运营商/分析人员将利用他们在海上领域的知识及其推理能力来推断这些事实。由于它们经常被大量的数据和信息所淹没，因此可以使用自动推理工具通过推断必要的事实来为其提供支持，从而最终为少量异常事件提供指示和警告，值得他们注意。沿着这种思路，本文描述了基于规则的专家系统的概念验证原型，该专家系统实现了基于规则的自动推理，以支持海上异常检测。

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