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Generalized triangle group based S-box construction for secure image encryption
Aqsa Zafar Abbasi1, Ayesha Rafiq1, Ines Hilali Jaghdam2
1Department of Applied Mathematics and Statistics, Institute of Space Technology, Islamabad, 44000, Pakistan.
This study introduces a novel S-box design using Generalized Triangle Groups (GTG) for enhanced RGB image encryption. The new method offers superior nonlinearity and cryptanalysis resistance compared to existing techniques.
Area of Science:
- Cryptography and Network Security
- Applied Mathematics
- Digital Image Processing
Background:
- Cyber image security is critical for transmitting sensitive data over insecure networks.
- Existing image encryption methods often suffer from poor security, efficiency, or flexibility.
- Conventional S-box designs and chaotic maps have limitations in resisting cryptanalysis.
Purpose of the Study:
- To propose a new S-box design method using Generalized Triangle Groups (GTG) for robust image encryption.
- To evaluate the cryptographic properties and performance of the proposed S-box in an RGB image encryption system.
- To demonstrate the superiority of the GTG-based approach over state-of-the-art methods.
Main Methods:
- Mathematical parameterization of GTG to create nonlinear and bijective S-boxes.
- Analysis of cryptographic attributes: nonlinearity, differential uniformity, Strict Avalanche Criterion (SAC), and attack resistance.
- Integration of the designed S-boxes into an RGB image encryption scheme for substitution and permutation.
Main Results:
- The proposed S-box exhibits high nonlinearity (112) and a balanced SAC (≈0.50).
- Achieved excellent resistance against linear and differential attacks with high entropy (≈8.0), NPCR (>99.8%), and UACI (≈33.3%).
- Demonstrated superior diffusion and confusion characteristics compared to existing algorithms.
Conclusions:
- The GTG-based S-box design offers enhanced nonlinearity, diffusion, and confusion for RGB image encryption.
- The proposed scheme provides improved cryptanalysis resistance and comparable computational efficiency.
- This method represents a significant advancement in secure image communication over networks.
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