Promising new Techniques for Computer Network Traffic Classification: A Survey

被引：0
|
作者：
Konopa, Michal [1 ]
Fesl, Jan [1 ]
Janecek, Jan [2 ]
机构：
[1] Univ South Bohemia, Fac Sci, Inst Appl Informat, Ceske Budejovice, Czech Republic
[2] Czech Tech Univ, Fac Informat Technol, Dept Comp Syst, Prague, Czech Republic
来源：
2020 10TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTER INFORMATION TECHNOLOGIES (ACIT) | 2020年
关键词：
computer network; traffic detection; security; image processing; artificial intelligence; deep learning;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper aims to give an overview of the application of image processing to network traffic analysis, including a description of the essence of the most important works in the last 15 years. The importance of efficient, automated analysis of network traffic is growing especially today, when huge volumes of diverse data need to be quickly processed. With the rapid development of artificial intelligence in the field of image processing, it seems logical to use it for analyzing network traffic image data. Recent results on this topic are very promising.
引用
收藏
页码：418 / 421
页数：4
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