Journal on Communications ›› 2014, Vol. 35 ›› Issue (Z1): 41-45.doi: 10.3969/j.issn.1000-436x.2014.z1.009

• New network technology and its application • Previous Articles     Next Articles

Net traffic identifier based on hierarchical clustering

Wei DING1,2,Jie XU1,2,Weng-hui ZHUO1,2   

  1. 1 School of Computer Science and Engineering,Southeast University,Nanjing 211189,China
    2 Key Laboratory of Computer Network and Information Integration,Ministry of Education,Southeast University,Nanjing 211189,China
  • Online:2014-10-25 Published:2017-06-19

Abstract:

An improved net traffic identifier algorithm was proposed based on semi-supervised clustering.Symmetrical uncertainty was used to reduce the net flow attributes,and then kernel function was used to project the rest attributes to higher dimentional space.The train net flow was clustered in high dimentional space hierarchically.Smooth factor,sihouette coefficient and entropy controlled the cluster process to get a well result.Experiments show that the algorithm got flat clusters without any huge cluster and could identify most net flow even encrypted ones.

Key words: traffic identify, hierarchical cluster, kernel function, sihouette coefficient

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