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采用SOM-BMU距离度量的异常检测方法
引用本文:陈卫军,贾伟峰. 采用SOM-BMU距离度量的异常检测方法[J]. 河南师范大学学报(自然科学版), 2009, 37(5)
作者姓名:陈卫军  贾伟峰
作者单位:安阳师范学院,计算机教学部,河南,安阳,455000;安阳师范学院,计算机教学部,河南,安阳,455000
摘    要:提出了一种基于SOM-BMU距离度量的网络异常检测方法,该方法通过t分布,构建了被测样本到BMU距离的置信区间,当被检测样本与BMU之间的距离不在该置信区间内时,认定网络异常发生.此外,为了提高该方法的自适应性,引入了滑动窗口的操作.实验阶段,对比了基于OC-SVM的网络异常检测方法.实验表明,该方法具有较高检测率、低误报率和自适应性的特点.

关 键 词:网络安全  异常检测  自组织映射  置信区间  滑动窗口

Anomaly Detection Method Adopting SOM-BMU Distance Metric
CHEN Wei-jun,JIA Wei-feng. Anomaly Detection Method Adopting SOM-BMU Distance Metric[J]. Journal of Henan Normal University(Natural Science), 2009, 37(5)
Authors:CHEN Wei-jun  JIA Wei-feng
Abstract:A network anomaly detection method based on SOM-BMU distance metric is proposed,which constructs a confidence range for distance between the sample and its BMU under student distribution.Anomaly detection is discovered when the distance is out of confidence range.In order to improve the self-adjustment to network situation,slide-window operation is used in this method.Experimental results in contrast to anomaly detection method based on One-Class SVM show that the method proposed in this paper gets high detection rate while keeping the false positive rate in a low level.The method can adjust it-self according to current network situation.
Keywords:network security  anomaly detection  SOM  confidence range  slide window
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