On the Impact of Unwanted Traffic onto a 3G Network
SECPERU '06 Proceedings of the Second International Workshop on Security, Privacy and Trust in Pervasive and Ubiquitous Computing
Quantifying Skype user satisfaction
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Diagnosis of capacity bottlenecks via passive monitoring in 3G networks: An empirical analysis
Computer Networks: The International Journal of Computer and Telecommunications Networking
Revealing skype traffic: when randomness plays with you
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Skype-Hunter: A real-time system for the detection and classification of Skype traffic
International Journal of Communication Systems
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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.