• DocumentCode
    676271
  • Title

    Differentiating voice and data traffic using statistical properties

  • Author

    Buyukkayhan, Ahmet S. ; Kavak, A. ; Yaprak, Ece

  • Author_Institution
    Dept. of Comput. Eng., Yeditepe Univ., Istanbul, Turkey
  • fYear
    2013
  • fDate
    7-9 Nov. 2013
  • Firstpage
    76
  • Lastpage
    79
  • Abstract
    In this paper, we determine the statistical properties of the Real Time Protocol (RTP) flows and enhance the Statistical Protocol Identification (SPID) application to differentiate voice and data traffic. We added 3 new attribute meters and generate a model database for the Session Initiation Protocol (SIP) and RTP protocols. The preliminary results with very low number of training capture seem promising. The results show that our new attributes improve the RTP flow identification recall by 15%.
  • Keywords
    signalling protocols; statistical analysis; RTP flow identification recall; RTP protocols; SIP; SPID; data traffic; real time protocol; session initiation protocol; statistical properties; statistical protocol identification; voice traffic; Computers; Databases; Ports (Computers); Protocols; Radiation detectors; Training; Vectors; Packet classification; QoS; RTP; Traffic classification; VoIP;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Computation (ICECCO), 2013 International Conference on
  • Conference_Location
    Ankara
  • Type

    conf

  • DOI
    10.1109/ICECCO.2013.6718232
  • Filename
    6718232
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=676271