Deep learning technology of computer network security detection based on artificial intelligence

被引:6
|
作者
Liu, Qinghui [1 ]
Zhang, Tianping [2 ]
机构
[1] Zaozhuang Univ, Network Ctr, Zaozhuang 277160, Shandong, Peoples R China
[2] Shanghai Tech Inst Elect & Informat, Sch Commun & Informat Engn, Shanghai 201411, Peoples R China
关键词
Network security monitoring; Deep learning; Artificial intelligence; Information science; Computer network; CYBER SECURITY;
D O I
10.1016/j.compeleceng.2023.108813
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
With the continuous progress of the information age and science and technology, how to combine complex and changeable data with self-protection ability has become an urgent problem that needs to be solved. In the computer system, the traditional technology for protection is somewhat passive. To this end, this paper analyzes computer network security monitoring under artificial intelligence (AI) deep learning technology and discusses its development trend, which monitors network security to find and address problems in time. The results show that the deep learning technology of computer network security detection can improve its security performance with high safety performance, high detection rate, and low false alarm rate. It can monitor the vulnerabilities in the computer network in time and realize effective security attack detection of the computer network.
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页数:10
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