A Mixed Chaotic Image Encryption Method Based on Parallel Rotation Scrambling in Rubik’s Cube Space DOI Creative Commons

Lu Xu,

Yun Chen,

Yanlin Qin

et al.

Entropy, Journal Year: 2025, Volume and Issue: 27(6), P. 574 - 574

Published: May 28, 2025

Most image encryption methods based on Rubik’s cube scrambling adopt the idea of cyclic shift or map pixels to surface, not fully considering cube’s three-dimensional (3D) properties. In response this defect, we propose a mixed chaotic color method parallel rotation in 3D space. First, seven-dimensional hyperchaotic system is introduced generate pseudo-random integer sequences. Then, proven lemma applied preprocess red (R), green (G), and blue (B) channels plain realize first diffusion. Next, sequence employed control Arnold transformation, scrambled two-dimensional (2D) pixel matrix converted into matrix. by dynamically selecting rotating axis, layer number, angle through sequence. The 2D matrix, realizing second diffusion via exclusive OR with generated logistic mapping. Finally, matrices R, G, B are combined an encrypted image. By performing algorithm reverse, can be decrypted A simulation analysis shows that proposed has larger key space exhibits stronger sensitivity than some existing methods.

Language: Английский

A Mixed Chaotic Image Encryption Method Based on Parallel Rotation Scrambling in Rubik’s Cube Space DOI Creative Commons

Lu Xu,

Yun Chen,

Yanlin Qin

et al.

Entropy, Journal Year: 2025, Volume and Issue: 27(6), P. 574 - 574

Published: May 28, 2025

Most image encryption methods based on Rubik’s cube scrambling adopt the idea of cyclic shift or map pixels to surface, not fully considering cube’s three-dimensional (3D) properties. In response this defect, we propose a mixed chaotic color method parallel rotation in 3D space. First, seven-dimensional hyperchaotic system is introduced generate pseudo-random integer sequences. Then, proven lemma applied preprocess red (R), green (G), and blue (B) channels plain realize first diffusion. Next, sequence employed control Arnold transformation, scrambled two-dimensional (2D) pixel matrix converted into matrix. by dynamically selecting rotating axis, layer number, angle through sequence. The 2D matrix, realizing second diffusion via exclusive OR with generated logistic mapping. Finally, matrices R, G, B are combined an encrypted image. By performing algorithm reverse, can be decrypted A simulation analysis shows that proposed has larger key space exhibits stronger sensitivity than some existing methods.

Language: Английский

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