ESTIMATING THE ACCURACY OF ANOMALY DETECTION IN TELECOMMUNICATION NETWORKS BY THE MACHINE LEARNING SYSTEM

Authors

  • TS.S. HOVHANNISYAN National Polytechnic University of Armenia Author
  • S.A. SIRADEGHYAN National Polytechnic University of Armenia Author

Keywords:

telecommunication network, anomaly detection, machine learning, support vector machine, artificial intelligence, monitoring

Abstract

Anomaly detection in telecommunication networks is becoming more and more important. This is because of the increase in the number of unauthorized access attemps and attacks to stop the operation. The paper assesses the accuracy of anomaly detection in telecommunication networks by machine learning.

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Published

01.06.2026

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Section

Articles

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