A Kind of P2P Streaming Media Identification Method Based on Traffic Behavior Analysis
Er‐yun Chen · Computer Technology and Development · 2009
How to identify P2P streaming media has become a hot issue in the field of P2P.Taking several most popular P2P streaming applications like PPLive,PPStream,and QQLive as the main research objects,analyzes their traffic behavior and generalized related traffic profiles and payload signatures.Then a novel P2P streaming media identification method based on traffic behavior analysis is proposed.The core of this method is two aspects.First,using traffic statistics algorithm,classify and statistics captured streaming media packets.Then,using features of characteristic matching algorithm,can identify and matching these packets,so result can come out.Subsequently,a detection system adopting this traffic behavior analysis based method has been developed to evaluate it,and the experiment results show that the method proposed in this paper can identify P2P streaming media traffic effectively.