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Networked Chaotic Map Model and Its Applications in Color Multiple Image Encryption
IEEE Photonics Journal ( IF 2.1 ) Pub Date : 2020-10-01 , DOI: 10.1109/jphot.2020.3020307
Yu-jie Sun , Hao Zhang , Chun-peng Wang , Zhen-yu Li , Xing-yuan Wang

In this study, a networked spatiotemporal chaotic map model is proposed based on the traditional coupled map lattice system. In addition, the time delay and variable topology parameters are considered to make the system more practical. The chaotic properties are analyzed using a bifurcation diagram, Lyapunov exponents, and entropies. In addition, institute of standards and technology tests are conducted to further analyze the randomness of the system signal. Based on the proposed system, a three-dimensional encryption algorithm is designed to encrypt multiple color images with scrambling and diffusion at the bit level. Several analyses, including histogram analysis, information entropy analysis, correlation analysis, key sensitivity, differential attack analysis, and resistance analyses, are performed to test the effectiveness and robustness of the proposed multiple image encryption algorithm with a networked chaotic map model.

中文翻译:

网络混沌地图模型及其在彩色多幅图像加密中的应用

本研究基于传统的耦合地图点阵系统,提出了一种网络化的时空混沌地图模型。此外,还考虑了时延和可变拓扑参数,使系统更加实用。使用分叉图、Lyapunov 指数和熵分析混沌特性。此外,还进行了标准和技术测试,以进一步分析系统信号的随机性。基于所提出的系统,设计了一种三维加密算法,对多幅彩色图像进行比特级加扰和扩散加密。多种分析,包括直方图分析、信息熵分析、相关分析、密钥敏感性、差分攻击分析和抵抗分析,
更新日期:2020-10-01
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