具有不同合框架和其硬件实现的二维记忆式超混沌地图
Mengjiao Wang1, Mingyu An1, Shaobo He1
1School of Automation and Electronic Information, Xiangtan University, Xiangtan 411105, China.
Chaos (Woodbury, N.Y.)
|July 17, 2023
概括
这项研究介绍了一个离散的memristor模型与一个正弦混沌地图相结合. 这项研究探讨了复杂的动态,并验证了一种新的图像加密算法,展示了混乱系统中的memristor应用.
科学领域:
- 非线性动力学是一种非线性动力学.
- 混沌理论 混沌理论
- 记忆器应用程序 应用程序
背景情况:
- 连续时间的memristors在混乱的电路中被使用.
- 离散的memristor模型为离散的混乱地图提供了潜力.
- 对离散的memristor合混沌系统进行进一步的调查是有必要的.
研究的目的:
- 提出和分析一个离散的memristor模型.
- 为了将这个模型与1D正弦混沌地图结合起来,生成2D混沌地图.
- 调查复杂的动态和潜在的应用,如图像加密.
主要方法:
- 开发一个离散的memristor模型,并分析其电压-电流特征.
- 使用各种框架将离散的memristor与1D正弦混沌地图合起来.
- 采用分析方法和数值实验来研究动态行为和参数控制.
- 设计和评估基于memristor合混沌地图的图像加密算法.
主要成果:
- 产生了两个不同的2D memristor-coupled混乱地图模型.
- 不同的合框架导致各种复杂的动态行为.
- 参数变化丰富了动态,并增加了memristor合正弦图的复杂性.
- 开发的加密算法展示了强大的图像加密能力.
结论:
- 拟议的离散的memristor模型及其与混乱地图的合产生了复杂的动态.
- 参数控制显著影响混乱行为的丰富性和复杂性.
- 基于memristor的混乱地图为安全的图像加密应用提供了一个有希望的基础.
- 硬件实验验证了数字结果,证实了该模型的实际可行性.
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