Medical Image Encryption Based on Fisher-Yates Scrambling and Filter Diffusion
A medical image encryption is proposed based on the Fisher-Yates scrambling, filter diffusion and S-box substitution. First, chaotic sequence associated with the plaintext is generated by logistic-sine-cosine system, which is used for the scrambling, substitution and diffusion processes. The three-d...
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| Published in | Shanghai jiao tong da xue xue bao Vol. 30; no. 1; pp. 136 - 152 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Shanghai
Shanghai Jiaotong University Press
01.02.2025
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1007-1172 1674-8115 1995-8188 |
| DOI | 10.1007/s12204-023-2618-7 |
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| Summary: | A medical image encryption is proposed based on the Fisher-Yates scrambling, filter diffusion and S-box substitution. First, chaotic sequence associated with the plaintext is generated by logistic-sine-cosine system, which is used for the scrambling, substitution and diffusion processes. The three-dimensional Fisher-Yates scrambling, S-box substitution and diffusion are employed for the first round of encryption. The chaotic sequence is adopted for secondary encryption to scramble the ciphertext obtained in the first round. Then, three-dimensional filter is applied to diffusion for further useful information hiding. The key to the algorithm is generated by the combination of hash value of plaintext image and the input parameters. It improves resisting ability of plaintext attacks. The security analysis shows that the algorithm is effective and efficient. It can resist common attacks. In addition, the good diffusion effect shows that the scheme can solve the differential attacks encountered in the transmission of medical images and has positive implications for future research. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 1007-1172 1674-8115 1995-8188 |
| DOI: | 10.1007/s12204-023-2618-7 |