Analysis of Computer Network Security Analysis Model Based on Deep Learning Algorithm

Abstract

Network security is an important factor affecting its popularity. After years of research and practice, many scholars and network security companies are committed to defense research and have made some achievements. However, firewalls, antivirus software and so on all have a certain passive type, no real-time acquisition, active defense mode. In order to improve the performance of defense system, this paper introduces deep learning technology. Deep learning is a multi-level convolutional neural network, which can find potential and valuable data from massive data and apply it to network security defense. This can discover the virus or Trojan data in the network in time, so as to improve the initiative of network security defense. Experimental data show that the method can improve the effectiveness of network security.