Research on the Application of Deep Learning in Computer Network Information Security. Issue 3 (October 2020)

• Record Type: Journal Article
• Authors: Zeng, Han; Liu, Zixi; Cai, Honghao
• Is Part Of: Journal of physics. Volume 1650:Issue 3(2020)
• Publication Date: 2020-10
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1650/3/032117
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: With the development of current information technology, computer networks are playing an increasingly important role in people's daily work and life. While the network brings great convenience to people, it also puts people at risk. A large number of information is stored on the network, which may be illegally invaded at any time, and there are serious security risks. Therefore, research on computer network information security is of great significance. Based on this, this article analyzes the application of deep learning in computer network information security. First, it gives an overview of network information security, introduces its concepts and current development status in China, then explains the concepts and principles of deep learning, and then analyzes the application of deep learning in network information security, including the current application status and its application in 7 aspects in details. This article has certain significance for deepening the research and application of deep learning in the field of information security.