Research On P2P Traffic Detection Based On Flow Characteristics

With the development of network technology in recent years, the P2P technology has been widely applied. According to investigation, network traffic generated by P2P application has accounted for 60%-90% of ISP services, seriously affecting normal network service such as Web,FTP,Email, as well as resulting in network congestion.The P2P traffic can be identified by port, protocol and traffic character, namely, the TCP flow of 80 port is HTTP flow traffic, and the UDP flow of 21 port is FTP flow. However, with the increasing development of network technology, lots of newly arisen network services like P2P and online games have began to choose port at random and encrypt protocol. Thus traditional traffic classification based on port and identification method based on payload can not make sure to classify network traffic correctly any more.The paper researched on existing methods of P2P traffic identification and made a comparison, and did some work as follows:1,Researching on working principle of existing P2P traffic detection controlling models, as well as advantages and disadvantages existing in identification process.2,Extracted through experiments P2P traffic up/downstream traffic ratio, the average flow rate, the average packet length, flow duration, number of bytes transferred, the port changes in the rate of change in the rate of packet size, TCP/UDP protocol packets than the other eight features as identify the P2P traffic characteristic parameters.3,Proposing a P2P traffic detection controlling model based on flow characteristics and introducing its theoretical basis.4,Designing and implementing the prototype system of the P2P traffic detection controlling model based on flow characteristics, introducing general design and realization mechanism of the system as well as functions of each component modules.5,Testing identification ability of the model in actual network environment, analyzing and evaluating of the test data.The dissertation is supported by Hubei province natural fund project of 2009CDB100.