Telecommunications Science ›› 2010, Vol. 26 ›› Issue (3): 46-51.doi: 10.3969/j.issn.1000-0801.2010.03.013

• research and development • Previous Articles     Next Articles

Optimizing Network Anomalous Detection Via Heavy Hitter Identification

Yu Zhang1,2,Lei Dai2   

  1. 1 School of Computer Science and Technology,Harbin Institute of Technology,Harbin 150001,China
    2 Institute of Computing Technology,Chinese Academy of Sciences,Beijing 100190,China
  • Online:2010-03-15 Published:2010-03-15


In this paper,we propose a network anomalous detection optimizing method via heavy hitter flow identification.Experimental results demonstrate that the proposed method is actually effective and lightweight for heavy hitter flow identification and can benefit large-scale network anomaly detection,mitigate performance stress.

Key words: worm propagation, network anomaly detection, distributed denial-of-service

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