Efficient semi-supervised learning bittorrent traffic detection - An extended summary (poster paper)

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Abstract

The peer-to-peer (P2P) technology has been well developed over the Internet. BitTorrent (BT) is one of the most popular P2P sharing protocols. BT network traffic detection has become increasingly important since ISP and enterprise networks often want to detect and limit P2P traffic for other critical applications. We propose a new detection method that is based on an intelligent combination of Deep Packet Inspection (DPI) and Deep Flow Inspection (DFI) with semi-supervised learning. Comparing with existing methods, the new method has achieved equally high accuracy with shorter classification time. © 2012 Springer-Verlag.

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APA

Wong, R. S., Moh, T. S., & Moh, M. (2012). Efficient semi-supervised learning bittorrent traffic detection - An extended summary (poster paper). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7129 LNCS, pp. 540–543). https://doi.org/10.1007/978-3-642-25959-3_40

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