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用于基于分数阶混沌的图像加密的积分时间分数扩散过程

Integrated Time-Fractional Diffusion Processes for Fractional-Order Chaos-Based Image Encryption.

作者信息

Ge Fudong, Qin Zufa, Chen YangQuan

机构信息

School of Computer Science, China University of Geosciences, Wuhan 430074, China.

School of Engineering (MESA-Lab), University of California, Merced, CA 95343, USA.

出版信息

Sensors (Basel). 2021 Oct 14;21(20):6838. doi: 10.3390/s21206838.

Abstract

The purpose of this paper is to explore a novel image encryption algorithm that is developed by combining the fractional-order Chua's system and the 1D time-fractional diffusion system of order α∈(0,1]. To this end, we first discuss basic properties of the fractional-order Chua's system and the 1D time-fractional diffusion system. After these, a new spatiotemporal chaos-based cryptosystem is proposed by designing the chaotic sequence of the fractional-order Chua's system as the initial condition and the boundary conditions of the studied time-fractional diffusion system. It is shown that the proposed image encryption algorithm can gain excellent encryption performance with the properties of larger secret key space, higher sensitivity to initial-boundary conditions, better random-like sequence and faster encryption speed. Efficiency and reliability of the given encryption algorithm are finally illustrated by a computer experiment with detailed security analysis.

摘要

本文旨在探索一种通过结合分数阶蔡氏系统和α∈(0,1]阶的一维时间分数阶扩散系统而开发的新型图像加密算法。为此,我们首先讨论分数阶蔡氏系统和一维时间分数阶扩散系统的基本性质。在此之后,通过将分数阶蔡氏系统的混沌序列设计为所研究的时间分数阶扩散系统的初始条件和边界条件,提出了一种基于时空混沌的密码系统。结果表明,所提出的图像加密算法具有较大的密钥空间、对初始边界条件较高的敏感性、较好的类随机序列以及较快的加密速度等特性,能够获得优异的加密性能。最后通过计算机实验及详细的安全性分析说明了给定加密算法的效率和可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/88fa/8537591/389531561873/sensors-21-06838-g001.jpg

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