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This Internet traffic classification using Machine Learning is an emerging research field since 1990's, and now it is widely used in numerous network activities. The classification technique focuses on modeling attributes and features of data flows to accomplish the identification of applications. In the paper we design and implement the classification model based on header-derived flow statistical...
This paper presents a new method to identify languages. A LVQ (learning vector quantization) network aimed at language identification is introduced. The presence of particular characters, words and the statistical information of word lengths are used as a feature vector. The new classification technique is faster than the conventional N-gram based classification approach, but it performs similarly...
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