Internet traffic classification using multifractal analysis approach

Authors:
Yulios Zavala;Jeferson Wilian de Godoy Stênico;Lee Luan Ling
Affiliations:
State University of Campinas - UNICAMP, Campinas, SP, Brazil;State University of Campinas - UNICAMP, Campinas, SP, Brazil;State University of Campinas - UNICAMP, Campinas, SP, Brazil
Venue:
Proceedings of the 15th Communications and Networking Simulation Symposium
Year:
2012

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Abstract

In this paper, we present a traffic classifier based on the theory of multifractal network traffic. We use precisely the concept of multiplicative binomial cascades to get a feature vector to be used in the classification scheme. This vector is obtained by the multiplier variances of the multiplicative cascade traffic view. We analyze the performance of the technique proposed by a popular ML Software-based and the results showed viability classification rates of traffic over 90%.