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Detecting network-wide traffic anomalies based on subspace method
Author(s): 
Pages: 153-156
Year: Issue:  11
Journal: COMPUTER ENGINEERING AND APPLICATIONS

Keyword:  子空间方法主成分分析大规模网络流量异常检测;
Abstract: 采用子空间方法和主成分分析(PCA,Principal Components Analysis)对大规模网络流量异常检测进行研究,并以校园网为实验环境,应用子空间方法和PCA实现了网络流量异常检测.通过实验结果与小波分析结果的对比,证明了基于子空间方法的大规模网络流量异常检测是一种既简单又高效的方法.
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