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Comparative Analysis and Development of Recommendations for the Use of Machine Learning Methods to Identify Network Traffic Anomalies in the Development of a Subsystem for User Behavioral Analysis

Comparative Analysis and Development of Recommendations for the Use of Machine Learning Methods to Identify Network Traffic Anomalies in the Development of a Subsystem for User Behavioral Analysis

This article discusses various machine learning methods in order to conduct a more effective analysis of user network traffic using a subsystem for analyzing user behavior and detecting network anomalies, since there is a need to evaluate big data. The methods and techniques used to detect network a...

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Главные авторы: Govorova, S. V., Говорова, С. В., Govorov, E. Y., Говоров, Е. Ю., Lapin, V. G., Лапин, В. Г.
Format: Статья
Sprog:English
Udgivet: Springer Science and Business Media Deutschland GmbH 2024
Fag:
Machine learning method
Traffic anomalies
Performance evaluation criteria
Network data
Network anomaly detection methods
Online adgang:https://dspace.ncfu.ru/handle/123456789/29365
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