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An adaptive model of a distributed intrusion detection system

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Abstract

We have proposed an adaptive model of a system for detecting intrusions in a distributed computer network. The basis of the detection system consists of various data-mining methods that make it possible to classify network interaction as normal or anomalous using many attributes extracted from network traffic.

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Authors and Affiliations

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

    V. V. Platonov & P. O. Semenov

Authors
  1. V. V. Platonov
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  2. P. O. Semenov
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Corresponding author

Correspondence to V. V. Platonov.

Additional information

Original Russian Text © V.V. Platonov, P.O. Semenov, 2017, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy.

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Platonov, V.V., Semenov, P.O. An adaptive model of a distributed intrusion detection system. Aut. Control Comp. Sci. 51, 894–898 (2017). https://doi.org/10.3103/S0146411617080168

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  • DOI: https://doi.org/10.3103/S0146411617080168

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