Computer Network Information Security Analysis and Management Research Based on Neural Network

Computer Network Information Security Analysis and Management Research Based on Neural Network

연구 분야: Networking

학회: 2020 2nd International Conference on Applied Machine Learning (ICAML)

The rapid progress of computer network technology has significantly changed industrial production and residents' daily lives. However, we should clearly recognize the advantages and disadvantages of network technology, which not only promotes the progress of human civilization, but also causes great hidden dangers to people's lives and life safety. In addition to conventional vulnerabilities and viruses, there are also some targeted intrusions, and different factors are interrelated, which makes the security evaluation more difficult. In order to effectively avoid Internet risks and ensure the security of users' personal data, relevant researchers have begun to increase their research efforts on the use of neural networks in the field of computer information security. The application principle of neural network is to form a nonlinear adaptive dynamic system through neuron connection, and realize process operation, identification and control. The unique feature of neural network is that it can efficiently analyze and deal with the problems of computer information security management, and establish the evaluation standard of computer information security. In this paper, we will do research to understand the application performance of neural network in safety inspection.