• DocumentCode
    2724902
  • Title

    Session recognition and Bandwidth Guarantee for Encrypted Internet Voice Traffic : Case Study of Skype

  • Author

    Wang, Jian-Hong ; Pan, J.-Y. ; Cheng, Yi-Chi

  • Author_Institution
    Dept. of Commun. Eng., Nat. Chung Cheng Univ.
  • fYear
    2007
  • fDate
    March 1 2007-April 5 2007
  • Firstpage
    384
  • Lastpage
    389
  • Abstract
    Under limited bandwidth, how to improve quality of service in VoIP (Voice over Internet Protocol) is a significant problem of the network traffic today. However, some protocol of VoIP traffic such as Skype is encrypted; with this problem, the network administrator can´t manage the VoIP bandwidth and result in time delay or loss of voice packets. The purpose of this study is to improve VoIP bandwidth guarantee by identifying encrypted Skype session. First, we use the Pcap (packet capture library) to capture session characteristics from the information about established connections in the network. Next, K-means is used to do clustering analysis and pattern recognition. After then, we can recognize the Skype session. Finally, we can feed the information of encrypted Skype session which has been identified into the bandwidth management system. So that, we can improve quality of bandwidth guarantee in Skype.
  • Keywords
    Internet telephony; bandwidth allocation; cryptography; pattern clustering; quality of service; telecommunication traffic; K-means method; Skype session identification; VoIP bandwidth guarantee; VoIP traffic; Voice over Internet Protocol; bandwidth management system; clustering analysis; encrypted Internet voice traffic; network traffic; packet capture library; pattern recognition; quality of service; session recognition; Bandwidth; Cryptography; Delay effects; Internet telephony; Libraries; Pattern analysis; Protocols; Quality of service; Speech recognition; Telecommunication traffic; Encrypted VoIP; K-means; Skype session identification; pattern recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Data Mining, 2007. CIDM 2007. IEEE Symposium on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    1-4244-0705-2
  • Type

    conf

  • DOI
    10.1109/CIDM.2007.368900
  • Filename
    4221324