›› 2014, Vol. 27 ›› Issue (5): 175-.

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Research on Network Traffic Anomaly Detection Based on PGM-NMF

WANG Xiaoge   

  1. (School of Electronic and Information Engineering,Lanzhou Jiaotong University,Lanzhou 730070,China)
  • Online:2014-05-15 Published:2014-05-14


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-NMF 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.

Key words: PGM NMF algorithms;network traffic matrix;residual matrix;anomaly intrusion detection model;Q plot

CLC Number: 

  • TP301