Study of Double-Characteristics-Based SVM Method for P2P Traffic Identification

In this paper, an SVM (Support Vector Machines)-based P2P (Peer-to-peer) traffic identification algorithm is presented. It could capture traffic information online, training-offline and categories online. The SVM algorithm uses double characteristics IP and IP-Port to identify P2P traffic by means of different traffic features separately. From results of experiments, we proved that choosing the appropriate traffic features, kernel option, configuration parameters, and punish modulus to the RBF kernel function of SVM algorithm are effective to identify P2P traffic.