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


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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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D. Lavrova

Peter the Great S.t Petersburg Polytechnic University

编辑信件的主要联系方式.
Email: lavrova@ibks.spbstu.ru
俄罗斯联邦, St. Petersburg, 195251

I. Alekseev

Peter the Great S.t Petersburg Polytechnic University

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Email: ialexeev@ibks.spbstu.ru
俄罗斯联邦, St. Petersburg, 195251

A. Shtyrkina

Peter the Great S.t Petersburg Polytechnic University

Email: ialexeev@ibks.spbstu.ru
俄罗斯联邦, St. Petersburg, 195251

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