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This paper implemented a network traffic classification method on the basis of Guassian Mixture Model-Hidden Markov Model using packet-level properties in network traffic flows (PLGMM-HMM). Our model firstly builds PLGMM-HMMs via two packet-level properties, inter packet time and payload size, respectively; then, we construct the estimation function by(More)
Sequential pattern mining is an important data mining problem with broad applications. And the classic algorithm for this problem is PrefixSpan, which is a projection-based, sequential pattern-growth approach. But it must scan projected database once in order to find a local frequent item, it may cost much time when the database is large. In this paper, we(More)
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