arrow
Volume 14, Issue 3
Image encryption based on fractional-order memristive neuron system and DNA coding technology

Fanqi Meng, Xiaoqin Zeng and Zuolei Wang

J. Info. Comput. Sci. , 14 (2019), pp. 203-210.

Export citation
  • Abstract
1School of Mathematics and Statistics, Yancheng Teachers University, Yancheng, P.R. China 2 Computer and Information Engineering College, Hohai University, Nanjing, P.R. China (Received April 25 2019, accepted June 11 2019) In this paper, we investigate the color image encryption based on fractional-order memristive neuron system and DNA coding technology. The proposed encryption method consists of two stages: permutation and diffusion. Some numerical examples are exploited to demonstrate the feasibility of the encryption algorithm, and the security analysis shows that the algorithm has high security and good resistance to statistical attacks.
  • AMS Subject Headings

  • Copyright

COPYRIGHT: © Global Science Press

  • Email address
  • BibTex
  • RIS
  • TXT
@Article{JICS-14-203, author = {Fanqi Meng, Xiaoqin Zeng and Zuolei Wang}, title = {Image encryption based on fractional-order memristive neuron system and DNA coding technology}, journal = {Journal of Information and Computing Science}, year = {2024}, volume = {14}, number = {3}, pages = {203--210}, abstract = {1School of Mathematics and Statistics, Yancheng Teachers University, Yancheng, P.R. China 2 Computer and Information Engineering College, Hohai University, Nanjing, P.R. China (Received April 25 2019, accepted June 11 2019) In this paper, we investigate the color image encryption based on fractional-order memristive neuron system and DNA coding technology. The proposed encryption method consists of two stages: permutation and diffusion. Some numerical examples are exploited to demonstrate the feasibility of the encryption algorithm, and the security analysis shows that the algorithm has high security and good resistance to statistical attacks. }, issn = {1746-7659}, doi = {https://doi.org/}, url = {http://global-sci.org/intro/article_detail/jics/22414.html} }
TY - JOUR T1 - Image encryption based on fractional-order memristive neuron system and DNA coding technology AU - Fanqi Meng, Xiaoqin Zeng and Zuolei Wang JO - Journal of Information and Computing Science VL - 3 SP - 203 EP - 210 PY - 2024 DA - 2024/01 SN - 14 DO - http://doi.org/ UR - https://global-sci.org/intro/article_detail/jics/22414.html KW - color image encryption, fractional-order, neuron system, NDA coding AB - 1School of Mathematics and Statistics, Yancheng Teachers University, Yancheng, P.R. China 2 Computer and Information Engineering College, Hohai University, Nanjing, P.R. China (Received April 25 2019, accepted June 11 2019) In this paper, we investigate the color image encryption based on fractional-order memristive neuron system and DNA coding technology. The proposed encryption method consists of two stages: permutation and diffusion. Some numerical examples are exploited to demonstrate the feasibility of the encryption algorithm, and the security analysis shows that the algorithm has high security and good resistance to statistical attacks.
Fanqi Meng, Xiaoqin Zeng and Zuolei Wang. (2024). Image encryption based on fractional-order memristive neuron system and DNA coding technology. Journal of Information and Computing Science. 14 (3). 203-210. doi:
Copy to clipboard
The citation has been copied to your clipboard