Image encryption based on fractional-order memristive neuron system and DNA coding technology
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@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:
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