Author(s)

Yining Ou

Corresponding Author

Yining Ou

Abstract

With the increasing progress of network communication technology, the management and analysis of network communication traffic has become an essential task. Effective traffic analysis can help us understand network behavior, predict network conditions, and optimize network performance. This study explores the application of machine learning in network communication traffic analysis. This article provides a detailed introduction to the characteristics of network communication traffic and the application of machine learning in this field. Then, a network traffic analysis model based on machine learning is designed and implemented. This model makes use of the main characteristics of network traffic data, and preprocesses and extracts its features. Through a series of experiments, the superior performance of the model in network communication traffic analysis and prediction was demonstrated. The research results indicate that machine learning technology has broad application prospects in network communication traffic analysis and prediction.

Keywords

Network communication traffic, Machine learning, Data analysis, Predictive models