Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
Revealing skype traffic: when randomness plays with you
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
Computer Networks: The International Journal of Computer and Telecommunications Networking
Detection and Tracking of Skype by Exploiting Cross Layer Information in a Live 3G Network
TMA '09 Proceedings of the First International Workshop on Traffic Monitoring and Analysis
A Real-Time Algorithm for Skype Traffic Detection and Classification
NEW2AN '09 and ruSMART '09 Proceedings of the 9th International Conference on Smart Spaces and Next Generation Wired/Wireless Networking and Second Conference on Smart Spaces
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In the previous years, Skype has gained more and more popularity, since it is seen as the best VoIP software with good quality of sound, ease of use and one that works everywhere and with every OS. Because of its great diffusion, both the operators and the users are, for different reasons, interested in detecting Skype traffic. In this paper we propose a real-time algorithm (named Skype-Hunter) to detect and classify Skype traffic. In more detail, this novel method, by means of both signature-based and statistical procedures, is able to correctly reveal and classify the signaling traffic as well as the data traffic (calls and file transfers). To assess the effectiveness of the algorithm, experimental tests have been performed with several traffic data sets, collected in different network scenarios. Our system outperforms the ‘classical’ statistical traffic classifiers as well as the state-of-the-art ad hoc Skype classifier. Copyright © 2011 John Wiley & Sons, Ltd.