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Algorithm for Online Detection of Traffic Anomalies in High-Speed Enterprise Multiservice Communication Networks

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Abstract

A real-time adaptive algorithm for detecting traffic anomalies in high-speed enterprise multiservice communication networks is proposed. The main results of its study are presented.

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Author information

Authors and Affiliations

  1. OAO Radioavionika, 190005, St. Petersburg, Russia

    S. A. Ageev

  2. Budyuonny Military Academy of the Signal Corps, 194064, St. Petersburg, Russia

    N. S. Ageeva

  3. Admiral Makarov State University of Maritime and Inland Shipping, 198035, St. Petersburg, Russia

    V. V. Karetnikov

  4. Emperor Alexander I St. Petersburg State Transport University, 190031, St. Petersburg, Russia

    A. A. Privalov

  5. Russian State Hydrometeorological University, 195196, St. Petersburg, Russia

    I. A. Sikarev

Authors
  1. S. A. Ageev
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  2. N. S. Ageeva
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  3. V. V. Karetnikov
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  4. A. A. Privalov
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  5. I. A. Sikarev
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Corresponding authors

Correspondence to V. V. Karetnikov or I. A. Sikarev.

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The authors declare that they have no conflicts of interest.

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Translated by E. Oborin

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Ageev, S.A., Ageeva, N.S., Karetnikov, V.V. et al. Algorithm for Online Detection of Traffic Anomalies in High-Speed Enterprise Multiservice Communication Networks. Aut. Control Comp. Sci. 55, 1068–1079 (2021). https://doi.org/10.3103/S0146411621080022

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