Al-Farg'oniy avlodlari (The descendants of Al-Fargani)
Published June 5, 2024 | Version v1
Journal article Open

MACHINE LEARNING ALGORITHMS ANALYSIS FOR NETWORK TRAFFIC CLASSIFICATION

Creators

  • 1. Tashkent University of Information Technologies after Muhmmad ibn Musa al-Khwarizmi, PhD student
  • 2. Tashkent University of Information Technologies after Muhmmad ibn Musa al-Khwarizmi, professor

Description

The rapid growth of Internet services has increased the demand for network traffic classification. There are several network traffic analysis methods available today. One of these methods is the Machine learning method used in the analysis of encrypted traffic. In this article was analyzed four different Machine learning algorithms to classify different internet traffics. This article has studied classification performance parameters as classification accuracy, recall, precision and training time. Bayes Network algorithm has given better performance with classification accuracy and training time as compared other machine learning algorithms

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References

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