Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 5
1540-1543,1568

Generation of malicious domain training data based on generative adversarial network

Yuan Chen
Qian Liping
Zhang Hui
Zhang Ting
College of Electrical & Information Engineering, Beijing University of Civil Engineering & Architecture, Beijing 100044, China
DOI: 10.19734/j.issn.1001-3695.2017.12.0762

Abstract

Many malware families such as botnet utilize domain generation algorithms(DGAs) to evade detection at present. The mainstream detection algorithms based on artificial rules and machine learning have some limitations due to the fact that DGAs generate domain characters timely and rapidly. The former is somewhat blind to new DGA variants. The latter suffers from the lack of evolving training data. In order to solve these problems, this paper defined domain encoder and decoder on account of the method of ASCII encoding and combined them with the concept of generative adversarial network(GAN) to construct domain character generator. Then it used the generator to predict and generate DGA variants. Experiment results show that the DGA variants generated by this method can act as real DGA samples when these variants are utilized to train and estimate classifiers. This verifies the validity of the generated data and they can be effectively utilized to train and estimate DGA domain detector.

Foundation Support

国家自然科学基金资助项目(61571144)
北京建筑大学博士基金资助项目(00331616014)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.12.0762
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Technology of Information Security
Pages: 1540-1543,1568
Serial Number: 1001-3695(2019)05-054-1540-04

Publish History

[2019-05-05] Printed Article

Cite This Article

袁辰, 钱丽萍, 张慧, 等. 基于生成对抗网络的恶意域名训练数据生成 [J]. 计算机应用研究, 2019, 36 (5): 1540-1543,1568. (Yuan Chen, Qian Liping, Zhang Hui, et al. Generation of malicious domain training data based on generative adversarial network [J]. Application Research of Computers, 2019, 36 (5): 1540-1543,1568. )

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  • Application Research of Computers Monthly Journal
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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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