Application of Data Mining in Predictive Analysis of Network Security Model

Abstract

In order to improve the application effect of data mining in the predictive analysis of network security models, this paper starts with the concept of data mining and data sources, then introduces related technologies from data mining technology and security setting collection technology, and finally introduces the computer network security maintenance system based on data mining. The results show that data mining technology plays an important role in the predictive analysis of network security models. The data show that by the end of 2021, the number of security vulnerabilities collected by my country's information security vulnerability sharing platform has reached 14,871, an increase of 46.6% compared with 2020. Among them, there are 5,567 high-risk vulnerabilities, an increase of about 1,400 vulnerabilities compared with last year. It can be seen that the number of vulnerabilities discovered every year and the number of high-risk vulnerabilities are basically increasing year by year. Therefore, it is recommended to strengthen the promotion of data mining technology in the predictive analysis of network security models, so that it can play a greater role.