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Technology of Information Security
|
3781-3785

Word DGA domain name detection method based on ON-LSTM and self-attention mechanism

Liu Liting
Ou Yuyi
Ling Jie
School of Computers, Guangdong University of Technology, Guangzhou 510006, China

Abstract

Aiming at the problem that the character randomness of word DGA domain names is low, the character structure and distribution are similar to benign domain names, and the detection effect of existing methods is inefficient, this paper proposed a detection method for word DGA domain name. Firstly, this method encoded domain names based on BiGRAM characters, so that the input of the model covered more domain name features. Secondly, it constructed the ON-LSTM-SA feature extraction module to fully extract the hierarchical semantic features of the domain name and assigned weights to it. Finally, it outputted the classification result through the softmax function. The experimental results show that, compared with the four contrasting models, this method performs the best in both detection performance and multi-classification performance, and has higher robustness and generalization ability.

Foundation Support

广州市科技计划项目(201902020007,202007010004)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0204
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 12
Section: Technology of Information Security
Pages: 3781-3785
Serial Number: 1001-3695(2022)12-041-3781-05

Publish History

[2022-07-07] Accepted Paper
[2022-12-05] Printed Article

Cite This Article

刘立婷, 欧毓毅, 凌捷. 基于ON-LSTM与自注意力机制的单词DGA域名检测方法 [J]. 计算机应用研究, 2022, 39 (12): 3781-3785. (Liu Liting, Ou Yuyi, Ling Jie. Word DGA domain name detection method based on ON-LSTM and self-attention mechanism [J]. Application Research of Computers, 2022, 39 (12): 3781-3785. )

About the Journal

  • 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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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