The Current Research Status of AI-Based Network Security Situational Awareness

被引：2
|
作者：
Wang, Maoli [1 ]
Song, Guangxue [1 ]
Yu, Yang [1 ]
Zhang, Bowen [1 ]
机构：
[1] Qufu Normal Univ, Sch Cyber Sci & Engn, Qufu 273165, Peoples R China
来源：
ELECTRONICS | 2023年 / 12卷 / 10期
关键词：
artificial intelligence; machine learning; network security; neural network; situational awareness; WAVELET NEURAL-NETWORKS; INTELLIGENCE; RECOGNITION;
D O I：
10.3390/electronics12102309
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Network security situational awareness is based on the extraction and analysis of big data, and by understanding these data to evaluate the current network security status and predict future development trends, provide feedback to decision-makers to make corresponding countermeasures, and achieve security protection for the network environment. This article focuses on artificial intelligence, summarizes the related definitions and classic models of network security situational awareness, and provides an overview of artificial intelligence. Starting from the method of machine learning, it specifically introduces the research status of neural-network-based network security situational awareness and summarizes the research work in recent years. Finally, the future development trends of network security situational awareness are summarized, and its prospects.
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页数：20
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