Technology of Information Security
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1834-1837,1844

New DGA domain name detection method based on fusion vector

Li Xiaodonga
Li Yuqianga
Song Yuanfenga
Hou Mengshua,b
a. Information Center, b. School of Computer Science & Engineering, University of Electronic Science & Technology of China, Chengdu 611731, China

Abstract

Due to the low randomness of character distribution and high randomness of word combination in word-based DGA domain names, the traditional detection methods are difficult to identify them. The method based on deep learning such as LSTM can capture domain's sequence features, but it lacks the word combination features and has low detection accuracy. In order to solve above problems, this paper proposed a new DGA domain name detection method based on fusion embedding layer. In domain embedding stage, it carried out a fusion vector representation based on characters and word segmentation technology. Then, it constructed a hybrid deep learning model based on CNN and BiGRU. The experimental results show that the proposed model has increased by 3.1% and 4.3% respectively in accuracy compared with the models based on CNN or LSTM alone. When dealing with the matsnu, suppobox and ngioweb DGAs, the proposed model is more effective.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.11.0596
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 6
Section: Technology of Information Security
Pages: 1834-1837,1844
Serial Number: 1001-3695(2022)06-040-1834-04

Publish History

[2022-01-11] Accepted Paper
[2022-06-05] Printed Article

Cite This Article

李晓冬, 李育强, 宋元凤, 等. 新的基于融合向量的DGA域名检测方法 [J]. 计算机应用研究, 2022, 39 (6): 1834-1837,1844. (Li Xiaodong, Li Yuqiang, Song Yuanfeng, et al. New DGA domain name detection method based on fusion vector [J]. Application Research of Computers, 2022, 39 (6): 1834-1837,1844. )

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  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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