Journal of Systems Engineering and Electronics ›› 2013, Vol. 35 ›› Issue (4): 864-869.doi: 10.3969/j.issn.1001-506X.2013.04.31

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Research of traffic identification in P2P network with concept drift

LIU San-min1,2, SUN Zhi-xin1,3,4   

  1. 1.College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;  2.College of Computer and Information, Anhui Polytechnic University, Wuhu 241000, China;  3.Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, Ministry of Education, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;  4.State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093,China
  • Online:2013-04-17 Published:2010-01-03

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Abstract:

To deal with concept drift in P2P traffic identification, a new traffic identification scheme is presented. The scheme consists of two components: concept drift detection module and ensemble module. Based on the chi-square statistic principle the concept drift detection module is implemented, and the ensemble module is established dynamically by base-classifier’s performance. For different ensemble scale and data block, simulation experiments built on the three kinds of base-classifier(Bayes classifier, support vector machine, and decision tree) are done, experiment results show that the scheme is feasible and the accuracy of the scheme is more than 82%.

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