• DocumentCode
    2814533
  • Title

    The Study of DPI Identification Technology Based on Sampling

  • Author

    Chen, Hongwei ; You, Fangping ; Zhou, Xin ; Wang, Chunzhi

  • Author_Institution
    Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
  • fYear
    2009
  • fDate
    19-20 Dec. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    DPI identification technology is a main technique of P2P data stream identification technology; the advantages of it are higher accuracy and the ability of distinguishing accurately which type of P2P applications. But it is difficult to apply in highspeed networks due to its slow execution speed. To solve this problem, this paper suggests six sampling strategies: invariable random sampling, invariable mechanical sampling, time random sampling, time mechanical sampling, speed random sampling mode and speed mechanical sampling. Discussing and testing how these strategies affect the DPI identification system in different network environments. Test conclusions shows that six sampling modes reduce the burden on the system in different degrees and maintain a high identification ratio of P2P data stream.
  • Keywords
    peer-to-peer computing; sampling methods; telecommunication security; DPI identification system; DPI identification technology; P2P data stream identification technology; deep packet inspection; invariable mechanical sampling; invariable random sampling; network environment; speed mechanical sampling; speed random sampling; time mechanical sampling; time random sampling; Computer science; Data mining; Educational institutions; High-speed networks; Inspection; Protocols; Sampling methods; Stochastic processes; System testing; Telecommunication traffic;
  • 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.2009.5363202
  • Filename
    5363202