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Anomaly and Specification Based Cognitive Approach for Mission-Level Detection andResponse

机译:基于异常和规范的任务级检测与响应认知方法

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In 2005 a survivable system we built was subjected to red-team evaluation. Analyzing, interpreting, and responding to the defense mechanism reports took a room of developers. In May 2008 we took part in another red-team exercise. During this exercise an autonomous reasoning engine took the place of the room of developers. Our reasoning engine uses anomaly and specification-based approaches to autonomously decide if system and mission availability is in jeopardy, and take necessary corrective actions. This extended abstract presents a brief summary of the reasoning capability we developed: how it categorizes the data into an internal representation and how it uses deductive and coherence based reasoning to decide whether a response is warranted.
机译:2005年,我们建立的可生存系统接受了红队评估。分析,解释和响应防御机制的报告占用了开发人员的一席之地。 2008年5月,我们参加了另一个红队演习。在此练习中,自主推理引擎取代了开发人员的位置。我们的推理引擎使用基于异常和基于规范的方法来自主确定系统和任务可用性是否处于危险之中,并采取必要的纠正措施。扩展的摘要简要介绍了我们开发的推理能力:如何将数据分类为内部表示形式,以及如何使用演绎和基于一致性的推理来确定是否需要做出响应。

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