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Network Traffic Classification Based on Message Statistics

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2 Author(s)
Gang Shen ; Sch. of Software Eng., Huazhong Univ. of Sci. & Technol., Wuhan ; Lian Fan

Accurate and efficient network traffic classification is an important network management task. Two way messages in a session follow the underlying application protocol to exchange information. In this paper, we propose a novel application classification method based on message statistics, concisely representing the protocols' unique characteristics. We present algorithms using SVD-based and information gain based algorithms to select the proper message feature set. As shown by the evaluation experiments, using the selected message features, a simple decision tree is able to reach the classification accuracy over 99%, which is comparable to other more sophisticated machine learning results.

Published in:

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Date of Conference:

12-14 Oct. 2008