| 基于PGM-NMF的网络流量异常检测研究 |
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| 引用本文： | 王晓鸽.基于PGM-NMF的网络流量异常检测研究[J].电子科技,2014,27(5):175-178. |
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| 作者姓名： | 王晓鸽 |
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| 作者单位： | (兰州交通大学 电子与信息工程学院,甘肃 兰州 730070) |
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| 摘 要： | 通过对网络流量数据进行采样,小波空间变化过滤噪声,构建了基于信息熵的网络流量矩阵,使用PGM-NMF算法对网络流量矩阵进行分解,构建的基于非负子空间方法的残余矩阵,应用Q 图实现网络流量的异常检测。理论分析及实验结果表明,与PCA方法相比,PGM-NMF算法在网络流量的异常检测中具有较好检测性能。
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| 关 键 词： | PGA NMF算法 网络流量矩阵 残余矩阵 异常检测模型 Q图 |
Research on Network Traffic Anomaly Detection Based on PGM-NMF |
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| WANG Xiaoge.Research on Network Traffic Anomaly Detection Based on PGM-NMF[J].Electronic Science and Technology,2014,27(5):175-178. |
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| Authors: | WANG Xiaoge |
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| Affiliation: | (School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China) |
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| Abstract: | A network traffic matrix is established based on information entropy by sampling the network traffic data and filtering noise by spatial variability of wavelet, the PGM-1NMF algorithm is used for network traffic matrix decomposition to build residual matrix based on nonnegative subspace method. The network traffic anomaly detection is achieved by Q plot. Theoretical and experimental results show that PGM-NMF has a better detection performance than PCA in network traffic anomaly detection. |
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| Keywords: | PGM-NMF algorithms network traffic matrix residual matrix anomaly intrusion detection mod- el Q plot |
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