A Classification Method of Unstructured P2P Multicast Video Streaming Based on SVM

The classification of unstructured P2P multicast video streaming is the premise for playing online linkage and real-time evidence in the process of network monitoring management. A new classification method is demonstrated, and some real-time protocol behavior features are figured in this paper, which is found out through distinguishing packet type and transmission direction. With these accessible features a multi-classification support vector machine is built to identify applications of unstructured P2P multicast video streaming. The result of experiment shows that the method has high identification accuracy and satisfying real-time characteristic.