AN ADAPTIVE MODEL OF INTRUSION DETECTION IN COMPUTER NETWORKS BASED ON ARTIFICIAL IMMUNE SYSTEM

  • Алексей Алексеевич Брюховецкий Sevastopol National Technical University
  • Александр Владимирович Скатков Sevastopol National Technical University

Abstract

It is proposed adaptive model and it is based  the intrusion detection system (IDS), which is constructed on the basis of immunological principles. Recognition of the state of network traffic is  in conditions of shortage  priori information about the properties of the source intrusion and the stochastic nature of recognizable events. In order to improve the reliability of intrusion detection system is made adaptive setting decision rules for classifying the states of network traffic. The system is designed for the detection and classification of network attacks classes: DoS, R2L, U2R, Probе. Setting up and testing of the model is based on the search  of anomalies in real data sets of IP-traffic computer networks and contained in known database KDD'99.

Author Biographies

Алексей Алексеевич Брюховецкий, Sevastopol National Technical University

Cand. tech. sciences, associate professor

Александр Владимирович Скатков, Sevastopol National Technical University

doctor of technical sciences, professor, head of the department

Published
2019-02-27
How to Cite
Брюховецкий, А., & Скатков, А. (2019). AN ADAPTIVE MODEL OF INTRUSION DETECTION IN COMPUTER NETWORKS BASED ON ARTIFICIAL IMMUNE SYSTEM. Electrotechnic and Computer Systems, (12(88), 102-111. Retrieved from https://eltecs.op.edu.ua/index.php/journal/article/view/1505
Section
Computer Systems, Networks and their Components

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