3D-TCM-Driven Bit-Level Image Encryption via S-Box Feedback Algorithm

Most existing low-dimensional chaotic maps suffer from a limited dynamical complexity and dynamic degradation, which restrict their effectiveness in image encryption. To address this issue, a novel three-dimensional chaotic map (3D-TCM) was constructed to improve dynamical complexity and stability, and its superiority was verified through a dynamical analysis. Based on these advantages, a plaintext-related image encryption scheme was designed by combining bit-level permutation and S-box-based diffusion. The experimental results show that the proposed scheme achieved high information entropy, a low pixel correlation, and desirable NPCR and UACI values, and successfully passed NIST SP800-22 statistical tests, demonstrating a strong resistance to differential attacks and overall robustness.

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Publication Details

Journal
Entropy
Published
2026-05-08
DOI
https://doi.org/10.3390/e28050535
Primary Topic
Chaos-based Image/Signal Encryption
Type
article
Field-Weighted Citation Impact
0.00

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article

3D-TCM-Driven Bit-Level Image Encryption via S-Box Feedback Algorithm

Junhua Zhang, Wenjie Zhou, Yiting Lin, Mingxu Wang
Entropy
Chaos-based Image/Signal Encryption
article

3D-TCM-Driven Bit-Level Image Encryption via S-Box Feedback Algorithm

Junhua Zhang, Wenjie Zhou, Yiting Lin, Mingxu Wang
article en

Abstract

Most existing low-dimensional chaotic maps suffer from a limited dynamical complexity and dynamic degradation, which restrict their effectiveness in image encryption. To address this issue, a novel three-dimensional chaotic map (3D-TCM) was constructed to improve dynamical complexity and stability, and its superiority was verified through a dynamical analysis. Based on these advantages, a plaintext-related image encryption scheme was designed by combining bit-level permutation and S-box-based diffusion. The experimental results show that the proposed scheme achieved high information entropy, a low pixel correlation, and desirable NPCR and UACI values, and successfully passed NIST SP800-22 statistical tests, demonstrating a strong resistance to differential attacks and overall robustness.

EntropyVol. 28(5)
Dalian Ocean University (CN), University of Electronic Science and Technology of China (CN), Lanzhou Jiaotong University (CN), Zhongshan Hospital (CN)
Ministry of Education of the People's Republic of China
Openalex Percentile: Top 5%
Chaos-based Image/Signal Encryption
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3D-TCM-Driven Bit-Level Image Encryption via S-Box Feedback Algorithm — Junhua Zhang, Wenjie Zhou, et al. · Entropy (2026) | TGRS Research Map | TGRS