Network Big Data Analysis and Mining Based on DPI Technology

Abstract

In recent years, the rapid development of mobile data network, with 4G commercial wireless network has entered the data era, more and more big data impact on the network of mobile operators, network monitoring and network security need to be strengthened. Depth packet detection technology DPI. The purpose of this paper is to complete network data analysis by in-depth identification of key words in IP packets, so as to meet the current demand of operators for network analysis. In this paper, DPI technology is applied to the actual network, and the DPI data analysis system is constructed by combining the 2G and 3G networks of China mobile. The key technologies in DPI include character recognition, behavior pattern recognition and application layer gateway recognition. At the end of the experiment, the mass signaling data from GB interface and iu-ps interface were obtained to effectively identify various applications and data mining in the network. This paper expounds big data analysis and mining technology and its decision application research from different aspects, hoping to provide theoretical reference for experts and scholars studying the application of big data analysis and mining technology.