Research on Method of Session-Based P2P Network Traffic Identification
Ruchuan Wang · Computer Technology and Development · 2010
With the development of P2P technology,a lot of P2P applications introduced new technology to improve the transmission quality of the local area network,leading P2P data transmission in the emergence of new features.Presents a P2P identification algorithm based on session behavior characterization which targets STUN by multiple classification analysis.Firstly,STUN packet format for establishing a session is included to illustrate how all kinds of NATs acquire mapped address.Algorithm uses multi-group description of the session,the establishment of a binary tree structure on the analysis of data packets sent and received to identify P2P session,and uses the hash table to store session state.Finally,in Linux circumstance,many experiments on thunder are processed. The experiment results indicate that the algorithm can identify P2P traffic perfectly.