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Technology of Information Security
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 9
2821-2824,2830

Identification of SM4 block cipher system based on random features

Ji Wentaoa
Li Yuanyuana
Qin Baodonga,b
a. School of Cyberspace Security, b. National Engineering Laboratory for Wireless Security, Xi'an University of Posts & Telecommunications, Xi'an 710121, China
DOI: 10.19734/j.issn.1001-3695.2021.01.0019

Abstract

The identification of encryption algorithms is the primary task of cryptanalysis. The current identification schemes cover the identification of block ciphers, the identification of stream ciphers, and the identification of hybrid algorithms of symmetric ciphers and public key ciphers. With the popularization of Chinese national cryptographic algorithms, their security has also attracted much attention. For the national secret algorithm, this paper proposed the SM4 block cipher system identification based on random characteristics, and identified the national secret SM4 algorithm with the main international standard block cipher algorithm. It used the randomness test method to perform feature extraction on the ciphertext to obtain feature vectors. These feature vectors formed the feature space. Finally, it used machine learning algorithms to train and test the feature space. Experimental results show that the recognition rate of SM4 and other block cipher algorithms are over 90%. This work provides new possibilities for cryptanalysis and at the same time increases the diversity of password identification schemes.

Foundation Support

国家自然科学基金项目(61872292)
青海省基础研究计划项目(2020-ZJ-701)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.01.0019
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 9
Section: Technology of Information Security
Pages: 2821-2824,2830
Serial Number: 1001-3695(2021)09-048-2821-04

Publish History

[2021-09-05] Printed Article

Cite This Article

纪文桃, 李媛媛, 秦宝东. 基于随机性特征的SM4分组密码体制识别 [J]. 计算机应用研究, 2021, 38 (9): 2821-2824,2830. (Ji Wentao, Li Yuanyuan, Qin Baodong. Identification of SM4 block cipher system based on random features [J]. Application Research of Computers, 2021, 38 (9): 2821-2824,2830. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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