Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 3
821-823,837

Password cracking algorithm using conditional variational auto-encoders

Duan Dagaoa,b
Zhao Zhendonga
Liang Shaohua
Han Zhongminga,b
a. School of Computer & Information Engineering, b. Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology & Business University, Beijing 100048, China
DOI: 10.19734/j.issn.1001-3695.2018.08.0649

Abstract

Using a password guessing algorithm is an effective way to assess the strength and security of a password. This paper proposed PassCVAE based on conditional variation auto-encoding(CVAE) model. The algorithm took user's personal information as the conditional feature to train the password attack model. For the encoder, it used bidirectional GRU recurrent neural network and text convolution neural network(TextCNN) to extract the feature of the password sequence and personal information. The decoder used two layers of GRU neural network to generate a password sequence based on the corresponding feature of personal information and hidden coding of password. The algorithm can effectively fit the distribution of password data, learn character combination rules and generate high-quality password guessing data. Multiple sets of experiments show that the proposed PassCVAE is better than the existing password guessing algorithms.

Foundation Support

国家教育部人文社会科学研究青年基金资助项目(13YJC860006)
国家自然科学基金资助项目(61170112,61532006)
北京市自然科学基金资助项目(4172016)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.08.0649
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 3
Section: Technology of Information Security
Pages: 821-823,837
Serial Number: 1001-3695(2020)03-039-0821-03

Publish History

[2020-03-05] Printed Article

Cite This Article

段大高, 赵振东, 梁少虎, 等. 基于条件变分自编码的密码攻击算法 [J]. 计算机应用研究, 2020, 37 (3): 821-823,837. (Duan Dagao, Zhao Zhendong, Liang Shaohu, et al. Password cracking algorithm using conditional variational auto-encoders [J]. Application Research of Computers, 2020, 37 (3): 821-823,837. )

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  • Application Research of Computers Monthly Journal
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    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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