Computer Security Algorithm Based on Convolutional Neural Network

Abstract

Computer security is a global issue, and it has always been the focus of attention of all countries on a global scale. Neural network is a new subject, which is widely used in the computer field. In the Internet information age, the number of computer users is increasing rapidly, and network security risks are increasing. How to apply various technologies to solve safety problems in a complex and changeable environment is the focus of research. This article mainly conducts research on the comparison of computer security related technologies through experimental methods and comparison methods. The experimental results show that the safety performance of the two times two out of two secure computer system is the highest, and the error time is ultimately within 1 to 2 seconds. The use of convolutional neural networks is effective and fast for computer security calculations.