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用于快速图像加密的新型变阶分数阶混沌系统。

New variable-order fractional chaotic systems for fast image encryption.

作者信息

Wu Guo-Cheng, Deng Zhen-Guo, Baleanu Dumitru, Zeng De-Qiang

机构信息

Data Recovery Key Laboratory of Sichuan Province, College of Mathematics and Information Science, Neijiang Normal University, Neijiang 641100, People's Republic of China.

School of Mathematics and Information Science, Guangxi University, Nanning 530004, People's Republic of China.

出版信息

Chaos. 2019 Aug;29(8):083103. doi: 10.1063/1.5096645.

Abstract

New variable-order fractional chaotic systems are proposed in this paper. A concept of short memory is introduced where the initial point in the Caputo derivative is varied. The fractional order is defined by the use of a piecewise constant function which leads to rich chaotic dynamics. The predictor-corrector method is adopted, and numerical solutions of fractional delay equations are obtained. Then, this concept is extended to fractional difference equations, and generalized chaotic behaviors are discussed numerically. Finally, the new fractional chaotic models are applied to block image encryption and each block has a different fractional order. The new chaotic system improves security of the image encryption and saves the encryption time greatly.

摘要

本文提出了新的变阶分数阶混沌系统。引入了短记忆概念,其中卡普托导数中的初始点是变化的。分数阶通过使用分段常数函数来定义,这导致了丰富的混沌动力学。采用预测-校正方法,得到了分数阶延迟方程的数值解。然后,将该概念扩展到分数阶差分方程,并对广义混沌行为进行了数值讨论。最后,将新的分数阶混沌模型应用于分块图像加密,且每个块具有不同的分数阶。新的混沌系统提高了图像加密的安全性,并大大节省了加密时间。

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