An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation strategy
Abstract The continuous evolution of information technology underscores the growing emphasis on data security. In the realm of medical imaging, various diagnostic images represent the privacy of individuals, and the potential repercussions of their unauthorized disclosure are substantial. Therefore,...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-86771-9 |
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| author | Chunyun Xu Yubao Shang Yongwei Yang Chengye Zou |
| author_facet | Chunyun Xu Yubao Shang Yongwei Yang Chengye Zou |
| author_sort | Chunyun Xu |
| collection | DOAJ |
| description | Abstract The continuous evolution of information technology underscores the growing emphasis on data security. In the realm of medical imaging, various diagnostic images represent the privacy of individuals, and the potential repercussions of their unauthorized disclosure are substantial. Therefore, this study introduces a novel chaotic system (TLCMCML) and employs it to propose a multi-image medical image encryption algorithm. To simultaneously augment security and optimize encryption efficiency, we undertake a dual-pronged approach. Firstly, we identify the regions of interest (ROIs) within individual medical images, subsequently applying an independent scrambling technique based on an odd-even interleaving configuration. Secondly, we integrate all medical images through horizontal concatenation, forming a comprehensive large-scale image, upon which we implement a synchronized bit-level permutation-diffusion encryption mechanism. Following extensive testing, enhancements were verified across various metrics including information entropy analysis, adjacent pixel correlation examination, differential attack simulations, and robustness assessments, thereby attesting to the exceptional encryption efficacy of the proposed algorithm. |
| format | Article |
| id | doaj-art-1721859c5f494c2c853bb533ce0f44a3 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-1721859c5f494c2c853bb533ce0f44a32025-01-26T12:26:45ZengNature PortfolioScientific Reports2045-23222025-01-0115112010.1038/s41598-025-86771-9An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation strategyChunyun Xu0Yubao Shang1Yongwei Yang2Chengye Zou3Department of Dermatology, Maternity and Child Health Hospital of QinhuangdaoSchool of Information Science and Engineering, Yanshan UniversitySchool of Mathematics and Computer Science, Tongling UniversitySchool of Information Science and Engineering, Yanshan UniversityAbstract The continuous evolution of information technology underscores the growing emphasis on data security. In the realm of medical imaging, various diagnostic images represent the privacy of individuals, and the potential repercussions of their unauthorized disclosure are substantial. Therefore, this study introduces a novel chaotic system (TLCMCML) and employs it to propose a multi-image medical image encryption algorithm. To simultaneously augment security and optimize encryption efficiency, we undertake a dual-pronged approach. Firstly, we identify the regions of interest (ROIs) within individual medical images, subsequently applying an independent scrambling technique based on an odd-even interleaving configuration. Secondly, we integrate all medical images through horizontal concatenation, forming a comprehensive large-scale image, upon which we implement a synchronized bit-level permutation-diffusion encryption mechanism. Following extensive testing, enhancements were verified across various metrics including information entropy analysis, adjacent pixel correlation examination, differential attack simulations, and robustness assessments, thereby attesting to the exceptional encryption efficacy of the proposed algorithm.https://doi.org/10.1038/s41598-025-86771-9Medical imageMultiple image encryptionTLCMCML chaotic systemOdd-even separation strategy |
| spellingShingle | Chunyun Xu Yubao Shang Yongwei Yang Chengye Zou An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation strategy Scientific Reports Medical image Multiple image encryption TLCMCML chaotic system Odd-even separation strategy |
| title | An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation strategy |
| title_full | An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation strategy |
| title_fullStr | An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation strategy |
| title_full_unstemmed | An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation strategy |
| title_short | An encryption algorithm for multiple medical images based on a novel chaotic system and an odd-even separation strategy |
| title_sort | encryption algorithm for multiple medical images based on a novel chaotic system and an odd even separation strategy |
| topic | Medical image Multiple image encryption TLCMCML chaotic system Odd-even separation strategy |
| url | https://doi.org/10.1038/s41598-025-86771-9 |
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