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%.