基于SVM增量学习的P2P流媒体流量识别策略分析

Analysis of SVM Incremental Learning Strategy Based on P2P Streaming Media Traffic Identification

网络信息化时代，对于网络中的不良流量信息进行有效的监控，然后采取有效的措施对不良流量进行抑制，对于促进网络安全和网络服务水平具有重要的意义。当前的P2P流媒体流量是网络流量监控的重点和难点，需要进行广泛研究。该文首先对当前的P2P流媒体流量的识别技术进行一定的介绍，然后对基于SVM增量学习的P2P流媒体流量识别中涉及到的一些算法、机制等进行分析，希望相关论述能够促进人们对于P2P流媒体流量识别技术重要性的清晰认识，提升人们的网络安全意识。

the network information age, effective monitoring for adverse flow of information in the network, and then take effective measures to suppress the adverse flow, has an important significance for the promotion of network security and network service lev- el. The current P2P streaming media traffic is the focus and difficulty of network traffic monitoring, require extensive research. Firstly, the current P2P streaming media traffic identification technology are introduced, and then the streaming media traffic iden- tification based on the P2P SVM incremental learning involves some algorithms, mechanism analysis, hope this can promote peo- ple for P2P streaming media traffic identification of a clear understanding of the importance of technology, to enhance network se-curity awareness people.