Network Traffic Monitoring and Real-Time Risk Warning Based on Static Baseline Algorithm

Authors

  • Li Fu Zhengzhou Preschool Education College, Zheng Zhou, HeNan, 450000, China
  • Zhu Jingli Zhengzhou Preschool Education College, Zheng Zhou, HeNan, 450000, China

Abstract

In this research, firstly the historical data of the sample is analyzed, and the Gaussian process static baseline algorithm is used to study this historical data. The ant colony algorithm is applied to optimize the structure and, finally, the basic value of the Gaussian process static baseline algorithm is realized. The adjustment method achieves real-time monitoring of network traffic and provides early warning of network risks through a series of studies. The research results indicate that the baseline calculation method used in this study produces greater accuracy than the traditional limit
calculation method, and can also make better use of the statistical characteristics of noise. Later, we will study the algorithm of data distribution according to time series in a noisy environment, compare this method with other kinds of prediction algorithms, and promote it. In summary, the network traffic monitoring system developed and designed in this study meets the basic daily usage needs, and also meets the index requirements of the cooperative project.

Keywords: Baseline algorithm; Gaussian process; Traffic monitoring; Risk warning

Cite As

L. Fu, Z. Jingli, "Network Traffic Monitoring and Real-Time Risk Warning Based on Static Baseline
Algorithm", Engineering Intelligent System, vol 29 no 3, pp. 183-189, 2021.


 

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Published

2021-06-01

Issue

Vol. 29 No. 3 (2021): International Journal of Engineering Intelligent Systems

Section

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