Research on Network Information Security Algorithm Based on Deep Learning

The growth of modern information technology has resulted in an increase in the significance of the role that computer networks play in people’s lives. People’s lives have been made significantly easier by this network. But it has also increased their vulnerability. All of which poses a significant threat to the integrity of the system because it is susceptible to unauthorized access at any moment. As a result, the investigation into the safety of information transmitted across computer networks is very important. On the basis of this, an investigation into the application of deep learning (DL) in computer network information security is being carried out with the goal of enhancing the safety of network information. Introduce methods for DL, and design a strategy for identifying threats to network information security that is based on DL. Determine the origin of the attack in accordance with the tracked course of the assault, and carry out the process of identifying potential risks to the information security of the network. Experiments have demonstrated that, in comparison to conventional methods, the identification method that was designed can improve the accuracy of information security threat identification results much higher than conventional methods can, on the basis of ensuring that threat identification will take place in a timely manner.