混乱的
加密
算法
指数函数
计算机科学
逻辑图
图像(数学)
像素
耦合映象格
选择(遗传算法)
联轴节(管道)
退化(生物学)
数学
控制理论(社会学)
人工智能
混沌同步
数学分析
材料科学
操作系统
冶金
生物
控制(管理)
生物信息学
作者
Bowen Zhang,Lingfeng Liu
标识
DOI:10.1088/1402-4896/ad1fc3
摘要
Abstract Abstract: The performance of most chaotic systems is dependent on the selection of parameters, and an incorrect selection can lead to a significant reduction in the complexity and safety of chaotic systems or to chaotic degeneracy. In this paper, we investigate an Exponential Cyclic Coupling Chaotic Model (ECCCM) that maintains excellent and stable chaotic dynamics across a wide range of parameters. We use the Exponential Coupled Logistic Model (ECLM) as an example to design a new fast image encryption algorithm that treats the image as a three-dimensional matrix and simultaneously changes the positions and values of its pixels. Our proposed encryption algorithm has been verified through various experiments to be highly secure and competitive with other state-of-the-art algorithms.
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