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Hyper-chaotic color image encryption based on 3D bit-level permutation and diffusion model.

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Title: Hyper-chaotic color image encryption based on 3D bit-level permutation and diffusion model.
Authors: Duan, Yun, Li, Taiyong, Liang, Sijian, Wang, Xinchen, Zhang, Duzhong
Source: Journal of Electronic Imaging; Jul/Aug2025, Vol. 34 Issue 4, p43030-043030-25, 1p
Subject Terms: IMAGE encryption, DATA security, NONLINEAR dynamical systems, DATA privacy
Abstract: With the increasing use of digital images in communication media and storage, the importance of image encryption has grown significantly for protecting privacy and ensuring data security. We introduce a hyper-chaotic image encryption algorithm that utilizes 3D bit-level permutation and noise-based diffusion method (HBPND) to enhance image encryption security and robustness. The proposed method employs a 6D hyper-chaotic system to generate two pseudo-random matrices. The first matrix is used to perform a 3D bit-level permutation on the plaintext image, creating the primary cipher image. The second matrix is transformed into a noise matrix, which is then used by the noise-based diffusion method to iteratively modify and superimpose the initial cipher image to produce the final cipher image. To improve the dynamic performance of encryption, pixel values are converted to a bit-level cubic matrix. The planes of this cubic matrix are randomly rearranged in three directions: front to back, left to right, and top to bottom, effectively breaking the connectivity between pixels. Multiple iterations of dynamical noise superposition in the noise-based diffusion method can efficiently remove information from plaintext images. Simulation outputs indicate that HBPND offers excellent performance on image protection. [ABSTRACT FROM AUTHOR]
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Database: Biomedical Index
Description
Abstract:With the increasing use of digital images in communication media and storage, the importance of image encryption has grown significantly for protecting privacy and ensuring data security. We introduce a hyper-chaotic image encryption algorithm that utilizes 3D bit-level permutation and noise-based diffusion method (HBPND) to enhance image encryption security and robustness. The proposed method employs a 6D hyper-chaotic system to generate two pseudo-random matrices. The first matrix is used to perform a 3D bit-level permutation on the plaintext image, creating the primary cipher image. The second matrix is transformed into a noise matrix, which is then used by the noise-based diffusion method to iteratively modify and superimpose the initial cipher image to produce the final cipher image. To improve the dynamic performance of encryption, pixel values are converted to a bit-level cubic matrix. The planes of this cubic matrix are randomly rearranged in three directions: front to back, left to right, and top to bottom, effectively breaking the connectivity between pixels. Multiple iterations of dynamical noise superposition in the noise-based diffusion method can efficiently remove information from plaintext images. Simulation outputs indicate that HBPND offers excellent performance on image protection. [ABSTRACT FROM AUTHOR]
ISSN:10179909
DOI:10.1117/1.JEI.34.4.043030