Network traffic classification method based on feature strong correlation
A network traffic and classification method technology, which is applied in the field of network traffic classification based on strong correlation of features, can solve the problems of decreased utilization of network resources and large throughput, and achieve good promotion ability and adaptability, improve efficiency, and improve accuracy Effect
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[0035] The present invention will be further described below in conjunction with the accompanying drawings.
[0036] figure 1 It is a principle flowchart of the present invention, including steps:
[0037] (1) Perform feature extraction on the input data to form a multi-dimensional feature vector set: for data extraction, the n features are respectively f 1 , f 2 ,..., f n , and then the eigenvector formed by it is F={f 1 , f 2 ,..., f n}.
[0038] (2) Calculate the correlation between features: Assuming that X and Y represent two random variables, the mutual information formula of the two is as follows:
[0039]
[0040] Among them, Ω X and Ω Y are the sample spaces of random variables X and Y, respectively, p(x, y) is the joint probability density function, and p(x) and p(y) are the marginal probability density functions.
[0041] The correlation of features R S The calculation formula is:
[0042]
[0043] Among them, c ∈ C = {+1, -1} represents a class va...
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