Acta Scientific Computer Sciences

Review Article Volume 5 Issue 1

A Review of Artificial Neural Network Based Block Cipher in China

Wanni Huang*

Department of Information Engineering, Guilin Institute of Information Technology, China

*Corresponding Author: Wanni Huang, Department of Information Engineering, Guilin Institute of Information Technology, China.

Received: August 23, 2022; Published: December 13, 2022

Abstract

In the era of swift changes in technical information, the development of any technology should not be limited to the technology itself. In the age of rapid development of artificial intelligence technology, cryptography research should not be limited to traditional research based only on number theory. The combination of artificial neural networks and block cipher has essential value and significance for promoting the development of cryptography. The article takes the concept of chaos as the connection and entry point of cryptography and artificial neural network research and further elaborates on the research process of combining cryptography and artificial neural network. In addition, the article further discusses and summarizes the critical directions of the early research on chaotic block ciphers for academic circles in China. Finally, this paper analyzes and summarizes the new progress of neural networks and block cipher research in China. This paper aims to discuss the antecedents and current status of the research on neural network block ciphers and provide a reference for future research on neural network block ciphers.

Keywords: Chaos; Artificial neural network; Block cipher; Symmetric cipher; Encryption

References

  1. Yang Xin. “Application Research of Information Security Encryption System Based on Chaos Theory”. Chongqing University (2008).
  2. Qin Ke. “Eigen analysis of chaotic neural network and its application in pattern recognition and cryptography”. University of Electronic Science and Technology, (2010).
  3. Lin Maoqiong., et al. “The application of neural network in the field of cryptography”. Computer Application Research 4 (2002): 8-10, 20.
  4. Ge Zhaocheng and Hu Hanping. “Intersection of Neural Networks and Cryptography”. Chinese Journal of Cryptography 2 (2021): 215-231.
  5. Shi Yuanding and Wang Jianhua. “Research progress of chaotic neural network”. Microcomputer Development 6 (2002): 33-35, 39.
  6. Zhao Shilei., et al. “Research on Stream Cipher Algorithm, Architecture and Hardware Implementation”. Journal of Cryptography6 (2021): 1039-1057.
  7. Lin Zhe. “Analysis, “Design and Comparison of Block Cipher and Stream Cipher—Take AES and RC4 as Examples”. Commodities and Quality S4 (2012): 313-314.
  8. Tang Guoping. “Research on chaotic block cipher and its application”. Chongqing University (2005).
  9. Quan Jingjing., et al. “Block Cipher Algorithm Based on Hyperchaotic Sequence and Its Application”. Journal of Nanjing University of Posts and Telecommunications 4 (2005): 80-84.
  10. Peng Fei and Qiu Shuisheng. “Research on a new block cipher algorithm based on chaotic map”. Small and Microcomputer Systems 12 (2007): 2162-2166.
  11. Gao Jie., et al. “A chaotic image encryption algorithm based on mixed feedback”. Computer Applications 2 (2008): 434-436.
  12. Liu Jialing., et al. “Analysis and Improvement of a Class of Iterative Chaotic Block Ciphers”. Computer Science 6 (2008): 141-144.
  13. Chen Shuai., et al. “Research on Chaos Block Cipher for Wireless Sensor Networks”. Science in China (Series F: Information Science)3 (2009): 357-362.
  14. Yan Lei and Wang Zhongxia. “A chaotic block cipher based on state space search”. Science and Technology Information 20 (2010): 78-79.
  15. Han Rui., et al. “Block Cipher Algorithm Based on Chaos Map”. Computer Engineering16 (2011): 120-122.
  16. Zheng Hao., et al. “Anti-differential cipher attack analysis of a chaotic block cipher based on Feistel structure”. Journal of Beijing Institute of Electronic Science and Technology2 (2012): 60-66.
  17. Fan Minghui and Yang Fengfan. “Dynamic S-box construction based on chaotic mapping in block ciphers”. Radio Engineering3 (2016): 33-36, 40.
  18. Cheng Xu and Zhao Xuemin. “A block cipher system based on feedforward network”. Computer Technology and Development 1 (2007): 167-169.
  19. Du Shenghui and Ruan Chuangui. “Block Cipher and Its Research”. Communication Technology and Development 4 (1995): 45-49.
  20. Du Shenghui and Ruan Chuangui. “Constructing Block Ciphers with Multilayer Hopfield Neural Networks”. Communication Secrecy 1 (1995): 1-4.
  21. Qi Rui., et al. “Symmetric cryptosystem based on neural network”. Journal of Tsinghua University (Natural Science Edition) 9 (2016): 89-93.
  22. Wang Kai., et al. “Research on energy analysis of block cipher algorithm based on MLP neural network”. Computer Application Research 4 (2020): 27-28.
  23. Hou Zezhou., et al. “Research and Application of Deep Learning on Differential Discriminators of Block Ciphers”. Journal of Software5 (2022): 1893-1906.

Citation

Citation: Wanni Huang.,et al. “A Review of Artificial Neural Network Based Block Cipher in China".Acta Scientific Computer Sciences 5.1 (2023): 73-78.

Copyright

Copyright: © 2023 Wanni Huang.,et al This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.




Metrics

Acceptance rate35%
Acceptance to publication20-30 days

Indexed In




News and Events


  • Certification for Review
    Acta Scientific certifies the Editors/reviewers for their review done towards the assigned articles of the respective journals.
  • Submission Timeline for Upcoming Issue
    The last date for submission of articles for regular Issues is July 10, 2024.
  • Publication Certificate
    Authors will be issued a "Publication Certificate" as a mark of appreciation for publishing their work.
  • Best Article of the Issue
    The Editors will elect one Best Article after each issue release. The authors of this article will be provided with a certificate of "Best Article of the Issue"
  • Welcoming Article Submission
    Acta Scientific delightfully welcomes active researchers for submission of articles towards the upcoming issue of respective journals.

Contact US