Mathematical Model Analysis of Network Traffic Data Detection Under the Background of Big Data

Abstract

The traditional network traffic data detection had the problems of low work efficiency and small detection range. To this end, the mathematical model of network traffic data detection under the background of big data was designed. The principle of network traffic data detection is determined, multi-scale features of network traffic data are extracted, and a network traffic data monitoring structure based on theory is established. The network data input and output nodes were calculated in the structure to realize the construction of the mathematical model of network traffic data detection. The experimental results showed that compared with the traditional method, the mathematical model of network traffic data detection had an improvement of 8% and a detection range of 2 times, and the detection accuracy is high, has the practicality(L4bstract).