Internet traffic classification using multifractal analysis approach
نویسندگان
چکیده
In this work, 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%.
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