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 realtime 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.
unstructured P2P multicast video streaming behavior feature classification SVM
Chaobin Liu Yuexiang Yang Chuan Tang
School of Computer Science, National University of Defense Technology Changsha, China Information Center, National University of Defense Technology Changsha, China
国际会议
武汉
英文
68-72
2009-11-18（万方平台首次上网日期，不代表论文的发表时间）