Computer Network Security Analysis Modeling Based on Spatio-temporal Characteristics and Deep Learning Algorithm

Abstract

With the computer network in the industry, business, politics, finance, military and other social fields in the application of more and more extensive, the society on the computer network is also more and more dependent. However, because of its wide area distribution, heterogeneity and dynamic characteristics, computer network is very vulnerable to security threats from various aspects. In order to better maintain computer network security, this paper studies computer network security analysis modeling based on space-time characteristics and deep learning algorithm. First of all, this article through to the computer network security connotation and the present situation analysis, points out the main problems of network security model, and thus build a combination of deep learning algorithm, a simulation model of network security analysis results show that the intercept network attack rate increased by 32.12% than that of the traditional model, verify the validity of the model. Through the construction of the model, it is expected to contribute to the improvement of computer network security analysis.