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Security Analysis Based on Controlling Dependences of Network Traffic Parameters by Wavelet Transformation

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Abstract—

This article presents mathematical tools of wavelet transformations for use in detecting network traffic attacks. The technique consists in discrete wavelet transformation of parameters of network packets extracted from traffic and tracking the degree of dependence of various network traffic parameters using the multiple correlation coefficient. The efficiency of the proposed technique is shown in the results of experimental detections of SYN flood DoS attacks.

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ACKNOWLEDGMENTS

The results were attained using the computational capacities of the supercomputer center of Peter the Great St. Petersburg Polytechnic University (SCC Politekhnicheskii) (http://www.spbstu.ru).

Project is financially supported by Ministry of Science and Higher Education of Russian Federation, Federal Program “Researching and Development in Priority Directions of Scientific and Technological Sphere in Russia within 2014–2020” (Contract 14.578.21.0231, September 26, 2017, the unique identifier of the agreement RFMEFI57817X0231).

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Authors and Affiliations

  1. Peter the Great S.t Petersburg Polytechnic University, 195251, St. Petersburg, Russia

    D. S. Lavrova, I. V. Alekseev & A. A. Shtyrkina

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  1. D. S. Lavrova
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  2. I. V. Alekseev
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  3. A. A. Shtyrkina
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Correspondence to D. S. Lavrova or I. V. Alekseev.

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Translated by S. Kuznetsov

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Lavrova, D.S., Alekseev, I.V. & Shtyrkina, A.A. Security Analysis Based on Controlling Dependences of Network Traffic Parameters by Wavelet Transformation. Aut. Control Comp. Sci. 52, 931–935 (2018). https://doi.org/10.3103/S0146411618080187

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