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

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 limitcalculation 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 warningCite AsL. 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.