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Deep learning technology of computer network security detection based on artificial intelligence
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DOI：10.1016/j.compeleceng.2023.108813.png)
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摘要
En 中文
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.
Keyword:
Network security monitoring
Deep learning
Artificial intelligence
Information science
Computer network
期刊
C
IF:
4.9
论文数:
6.7K
被引数:
1.3W
机构
引用论文
Artificial intelligence in cyber security: research advances, challenges, and opportunities网络安全中的人工智能: 研究进展、挑战与机遇
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