网络知识不确定性建模

2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS) Pub Date : 2011-04-11 DOI:10.1109/CICYBS.2011.5949390

Dean Lee, S. Hamilton, W. L. Hamilton

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引用次数: 3

摘要

传感器数据可用于提供关键任务网络状态的快照。然而，对于给定的结论，传感器数据和由此得出的结论(Cyber Knowledge)往往包含相互冲突的值。在本文中，我们提出了一种表示和组合网络知识的新方法，即使面对多个相互冲突的输入，也能保持准确性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Modeling Cyber Knowledge uncertainty

Sensor data can be used to provide a snapshot of the state of a mission critical network. However, sensor data and the conclusions derived from it (Cyber Knowledge) will often contain conflicting values for a given conclusion. In this paper we present a new method for representing and combining cyber knowledge that maintains accuracy even in the face of multiple conflicting inputs.

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2011 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)

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