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Increasing the reliability of distribution systems by the use of intrusion detection system based on ricci flows

机译:通过使用基于ricci流的入侵检测系统来提高配电系统的可靠性

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In this paper presented research methods of intrusion detection in the cloud systems. Described such methods of data mining as support vector machines (SVM) and restricted Boltzmann machines (RBM). The proposed a hybrid intrusion detection method based on a combination of the above two methods using hyperbolic Ricci flows to the Poincare disk. To test used the database KDD-99, described four classes of intrusion and based on a comparison of accuracy of methods of analysis, the percentage of false positives and false negative rates.
机译:本文提出了云系统中入侵检测的研究方法。将这种数据挖掘方法描述为支持向量机(SVM)和受限玻尔兹曼机(RBM)。提出了一种混合入侵检测方法,该方法基于上述两种方法的结合,并使用了双曲Ricci流到Poincare磁盘。为了测试使用的数据库KDD-99,描述了四种入侵类型,并基于比较分析方法的准确性,误报率和误报率的百分比。

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