2nd International ICST Conference on Communications and Networking in China

Research Article

Proposition and Provement of A TCP Feature of P2P Traffic- An Example of BitTorrent and Emule

  • @INPROCEEDINGS{10.1109/CHINACOM.2007.4469328,
        author={Li-Juan Zhou and Zhi-Tang Li and Tu Hao},
        title={Proposition and Provement of A TCP Feature of P2P Traffic- An Example of BitTorrent and Emule},
        proceedings={2nd International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2008},
        month={3},
        keywords={P2P Traffic  Pareto  TCP Feature},
        doi={10.1109/CHINACOM.2007.4469328}
    }
    
  • Li-Juan Zhou
    Zhi-Tang Li
    Tu Hao
    Year: 2008
    Proposition and Provement of A TCP Feature of P2P Traffic- An Example of BitTorrent and Emule
    CHINACOM
    IEEE
    DOI: 10.1109/CHINACOM.2007.4469328
Li-Juan Zhou1,*, Zhi-Tang Li1,*, Tu Hao1,*
  • 1: Network and Comupting Center Huazhong University of Science&Technology 430074, P.R. CHINA
*Contact email: ljzhou@hust.edu.cn, leeying@hust.edu.cn, tuhao@hust.edu.cn

Abstract

Over the last years,the large number of filesharing applications has resulted in a significant increase of P2P traffic. The P2P (Peer-to-Peer) technology is characterized by no utilization of any servers with centralized functions and the presence of many hosts acting both as servers and clients.The wide use of the P2P application has lead to the rapid growth of network traffic. Thus, the accurate classification of P2P traffic becomes a challenging problem,and becomes even more challenging.This paper proposes some new essential characteristics of TCP traffic to achieve its discrimination. To prove the universality of the values of our proposed features, we also present some analytic estimates of them using Pareto as the distribution of user lifetime in real P2P systems. Finally, we apply SVM (Support-Vector-Machine) to the discrimination of these features in order to automate the processing of the discrimination, and its accuracy is demonstrated as a result of some experiments.