A novel self-learning architecture for p2p traffic classification in high speed networks

Abstract

The popularity of a new generation of smart peer-to-peer applications has resulted in several new challenges for accurately classifying network traffic. In this paper, we propose a novel two-stage p2p traffic classifier, called Self-Learning Traffic Classifier (SLTC), that can accurately identify p2p traffic in high speed networks. The first stage… (More)
DOI: 10.1016/j.comnet.2009.10.009

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