Machine learning based encrypted traffic classification: Identifying SSH and Skype

Abstract

The objective of this work is to assess the robustness of machine learning based traffic classification for classifying encrypted traffic where SSH and Skype are taken as good representatives of encrypted traffic. Here what we mean by robustness is that the classifiers are trained on data from one network but tested on data from an entirely different… (More)
DOI: 10.1109/CISDA.2009.5356534

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