Detection and Tracking of Skype by Exploiting Cross Layer Information in a Live 3G Network

  • Philipp Svoboda
  • Esa Hyytiä
  • Fabio Ricciato
  • Markus Rupp
  • Martin Karner
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5537)

Abstract

This paper introduces a new method to detect and track Skype traffic and users by exploiting cross layer information available within 3G mobile cellular networks. In a 3G core network all flows can be analyzed on a per user basis. A detected Skype message is therefore related to a specific user. This information enables user profiles that provide a relationship between the mobile station and the characteristics of the corresponding Skype instance, which remain unchanged for long periods of time. Based on this information, our computationally lightweight method is able to classify Skype flows accurately. Moreover, the method is, by design, robust against false positives. Based on test traces from a live network, our new method achieves a similar detection performance as publicly available tools, yet with much less complexity.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Philipp Svoboda
    • 1
  • Esa Hyytiä
    • 2
  • Fabio Ricciato
    • 2
  • Markus Rupp
    • 1
  • Martin Karner
    • 3
  1. 1.INTHFT DepartmentVienna University of TechnologyViennaAustria
  2. 2.Forschungszentrum Telekommunikation WienViennaAustria
  3. 3.mobilkom austria AGViennaAustria

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