Research on Intelligent Detection of Intrusion Data in Network

被引：0
作者：
Zhu, Guangjie [1 ]
Yao, Honglei [1 ]
机构：
[1] China Acad Railway Sci Corp Ltd, Inst Comp Technol, Beijing, Peoples R China
来源：
2020 CHINESE AUTOMATION CONGRESS (CAC 2020) | 2020年
关键词：
Network Security; Computation Consumption; Data Mining; Machine Learning;
D O I：
10.1109/CAC51589.2020.9326803
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The typical algorithms in machine learning and data mining are described and compared based on the advantages from individual algorithm including computation consumption and computation capacities. Based on the research on the novel academic paper, the problems to be solved are analyzed in network security. Besides, some suggestions are provided to adapt to specific scenarios.
引用
收藏
页码：5 / 10
页数：6
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