Abstract—
This paper proposes to use multifractal analysis to detect backbone network traffic anomalies that indicate network failures or attacks. Multifractal spectrum characteristics are used as security metrics. The effectiveness of the proposed approach is confirmed by experimental results on detecting Denial of Service attacks.
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ACKNOWLEDGMENTS
The results of the work were obtained using the computing resources of the Supercomputer Center Polytechnic of St. Petersburg Polytechnic University (SCC Politekhnicheshkii) (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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Translated by O. Pismenov
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Zegzhda, P.D., Lavrova, D.S. & Shtyrkina, A.A. Multifractal Analysis of Internet Backbone Traffic for Detecting Denial of Service Attacks. Aut. Control Comp. Sci. 52, 936–944 (2018). https://doi.org/10.3103/S014641161808028X
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DOI: https://doi.org/10.3103/S014641161808028X