Image encryption algorithm based on the Matryoshka transform and modular-inverse matrix-Reference-Cited by-同舟云学术

Image encryption algorithm based on the Matryoshka transform and modular-inverse matrix

Published:2023-11-06 Issue:24 Volume:111 Page:22645-22678
ISSN:0924-090X
Container-title:Nonlinear Dynamics
language:en
Short-container-title:Nonlinear Dyn

Author:

Zhang Xiaoqiang^ORCID,Zhang Xueheng

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11071-023-09010-8.pdf

Reference61 articles.

1. Tao, W., Minghui, W.: Hyper chaotic image encryption algorithm based on bit-level permutation and DNA encoding. Opt. Laser Technol. 132, 13 (2020)

2. Xiaoqiang, Z., Yangming, H.: Multiple-image encryption algorithm based on the 3D scrambling model and dynamic DNA coding. Opt. Laser Technol. 141, 16 (2021)

3. Xiuli, C., Xiangcheng, Z., Zhihua, G., et al.: Combining improved genetic algorithm and matrix semi-tensor product (STP) in color image encryption. Signal Process. 183, 24 (2021)

4. Xiuli, C., Jianqiang, B., Zhihua, G., et al.: Color image compression and encryption scheme based on compressive sensing and double random encryption strategy. Signal Process. 176, 18 (2020)

5. Haiying, Hu., Yinghong, C., Jin, H., et al.: A novel chaotic system with hidden attractor and its application in color image encryption. Multimed. Tools Appl. 82(3), 27 (2023)

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