Image encryption based on fractional-order memristive neuron system and DNA coding technology
Authors
Fanqi Meng, Xiaoqin Zeng and Zuolei Wang
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 \u00a0this \u00a0paper, \u00a0we \u00a0investigate \u00a0the \u00a0color \u00a0image \u00a0encryption \u00a0based \u00a0on \u00a0fractional-order \u00a0memristive
neuron \u00a0system \u00a0and \u00a0DNA \u00a0coding \u00a0technology. \u00a0The \u00a0proposed \u00a0encryption \u00a0method \u00a0consists \u00a0of \u00a0two \u00a0stages:
permutation \u00a0and \u00a0diffusion. \u00a0Some \u00a0numerical \u00a0examples \u00a0are \u00a0exploited \u00a0to \u00a0demonstrate \u00a0the \u00a0feasibility \u00a0of \u00a0the
encryption algorithm, and the security analysis shows that the algorithm has high security and good resistance
to statistical attacks.
