Hyper-chaotic color image encryption based on 3D bit-level permutation and diffusion model
Yun Bo Duan, Taiyong Li, Sijian Liang, Xinchen Wang, Duzhong Zhang · Journal of Electronic Imaging · 2025
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.