基于内容转发模型的P2P流量识别算法

随着P2P技术的发展,单纯地依靠IP加固定端口、应用层特征匹配进行流量识别的方法已不能满足实际需求。本文基于P2P网络结点既下载数据内容又将其进行转发的事实,建立了P2P网络的内容转发模型,并在此基础上设计实现了基于P2P网络内容转发模型的流量识别算法。该算法不依赖于端口号或应用层特征等与特定应用相关的信息,而是充分利用了结点具有内容转发的内在特性,具有较好的扩展性和鲁棒性。同时,理论分析和实验结果表明:本文算法具有较好的识别精度和鲁棒性,对检测P2P流媒体应用及热门资源共享产生的流量更具适应性。

Identification approach of P2P flow based on the content redistribution model

With the development of P2P technology,tradition methods based on application port number and matching protocol-specific signatures in payload cannot provide acceptable accuracy any more.In this paper,a content redistribution model of P2P network was proposed.Based on this redistribution model,an identification algorithm was also developed.The proposed model is based on the underlying characteristics of P2P protocol,each peer acting both as a server and a client,so redistributing the received content to other peers.Theoretical analysis and experiments show that the approach is more suitable for identifying traffic that is generated by P2P streaming and highly sought-after resource sharing.