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Color Image Encryption Based on 3D-SBFCM with Dynamic Rectangular Partitioning and Dynamic S-Box Substitution.

Ting Wang1, Xiaoyan Yang1, Bin Ge2

  • 1School of Information Engineering, Huainan Union University, Huainan 232038, China.

Entropy (Basel, Switzerland)
|June 26, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a novel color image encryption method using a complex 3D chaotic map and dynamic partitioning. The approach enhances security by improving complexity, reducing image regularity, and ensuring robust diffusion across RGB channels.

Keywords:
chaotic mapcolor image encryptioncross-channel diffusiondynamic S-boxhierarchical scrambling

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Area of Science:

  • Cryptography
  • Image Processing
  • Applied Mathematics

Background:

  • Existing chaos-based encryption methods struggle with low-dimensional map complexity, block partitioning regularity, and limited RGB channel diffusion.
  • These limitations reduce the overall security and effectiveness of current color image encryption techniques.

Purpose of the Study:

  • To propose a novel color image encryption algorithm addressing the limitations of existing methods.
  • To enhance dynamical complexity, reduce spatial correlations, and improve cross-channel diffusion for secure image encryption.

Main Methods:

  • A three-dimensional sine-bilinear fully coupled chaotic map (3D-SBFCM) was developed for improved pseudorandomness.
  • A residual-feasibility-constrained dynamic rectangular partitioning mechanism was introduced to create non-uniform image blocks.
  • The algorithm incorporates permutation, S-box substitution, and cross-channel diffusion techniques.

Main Results:

  • The proposed 3D-SBFCM exhibits enhanced complexity and pseudorandomness.
  • Dynamic partitioning effectively reduces structural regularity and spatial correlations.
  • High information entropy (>7.999) and near-theoretical NPCR/UACI values were achieved, indicating strong confusion and diffusion.
  • The algorithm demonstrated robustness against cropping and noise attacks.

Conclusions:

  • The proposed algorithm offers a secure and effective solution for color image encryption.
  • It successfully overcomes the limitations of existing chaos-based methods, providing enhanced security and robustness.