
Research on the Application of Deep Learning in Computer Network Information Security
Author(s) -
Han Zeng,
Zixi Liu,
Hengjin Cai
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/3/032117
Subject(s) - computer science , information security , computer security , network security , field (mathematics) , deep learning , security information and event management , data science , cloud computing security , artificial intelligence , cloud computing , mathematics , pure mathematics , operating system
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.