• DocumentCode
    2864985
  • Title

    A New Model for P2P Traffic Identification Based on DPI and DFI

  • Author

    Chen, Hongwei ; Hu, Zhengbing ; Ye, Zhiwei ; Liu, Wei

  • Author_Institution
    Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    Accurate identification of P2P traffic makes great sense for efficient network management and reasonable utility of network resources. P2P traffic identification has two promising approaches: DPI (deep packet inspection) and DFI (deep flow inspection). The purpose of the paper is to solve how to carry out research on how to take advantage of merits of these methods, avoid their defects, and assemble the two methods as a whole. The paper brings forward a new model for P2P traffic identification based on DPI and DFI. This model puts DPI method and DFI method together to recognize P2P traffic. The model comprises five parts: traffic collect module, DPI module, DFI module, coordinated module between DPI and DFI, and evaluation module. DPI and DFI work together in this model not only enhance identification veracity of P2P traffic, but also expand identification extend of P2P traffic effectively.
  • Keywords
    computer network management; peer-to-peer computing; DFI module; DPI module; coordinated module; deep flow inspection; deep packet inspection; evaluation module; network management; network resources utility; peer-to-peer traffic identification; traffic collect module; Assembly; Computer network management; Computer science; Inspection; Payloads; Peer to peer computing; Protocols; Resource management; Telecommunication traffic; Traffic control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Computer Science, 2009. ICIECS 2009. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4994-1
  • Type

    conf

  • DOI
    10.1109/ICIECS.2009.5366295
  • Filename
    5366295