• DocumentCode
    2494850
  • Title

    Skype Traffic Identification

  • Author

    Perényi, Marcell ; Gefferth, András ; Dang, Trang Dinh ; Molnár, Sándor

  • Author_Institution
    Budapest Univ. of Technol. & Econ., Budapest
  • fYear
    2007
  • fDate
    26-30 Nov. 2007
  • Firstpage
    399
  • Lastpage
    404
  • Abstract
    Skype uses strong encryption to secure communications inside the whole Skype network. Clients choose communication ports randomly. Therefore traditional port based or payload based identification of Skype traffic is not feasible. In this paper we introduce a novel flow dynamics based identification method to discover Skype host and voice calls as well. Our method uses only packet headers and the extracted flow level information. The whole identification process is scripted in Transact-SQL, thus it can be executed automatically. We also present the validation of the algorithm together with some analysis of the identification results.
  • Keywords
    Internet telephony; peer-to-peer computing; telecommunication traffic; P2P VoIP network; Skype traffic identification; Transact-SQL; encryption; flow dynamics based identification method; packet headers; secure communications; Cryptography; Data mining; Economic forecasting; Informatics; Network servers; Payloads; Pricing; Relays; Telecommunication traffic; Tin;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1042-2
  • Electronic_ISBN
    978-1-4244-1043-9
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2007.81
  • Filename
    4410991