A secure medical image encryption technique based on DNA cryptography with elliptic curves
Rattachement africain : in, sa, Éthiopie, gb. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Health services and telemedicine have proven to be an important area for information protection in research, especially with medical services and smart health care applications. In these systems, medical imaging protection are important not only for clinical diagnosis, but also to protect the very sensitive and confidential patient data. With progress in imaging technologies and biomedical processing algorithms, the amount of image data increases rapidly. However, securing this information while transferring through insecure channel is still a constant challenge. Existing encryption techniques often face limitations such as high computational complexity, insufficient security against advanced cryptographic attacks, poor reversal and pixel correlation. To overcome these challenges, the proposed approach provides an innovative hybrid encryption technique that integrates DNA cryptography with Elliptical Curve Cryptography (ECC). The DNA-based coding shows high randomness and equality while the ECC provides strong security and confidentiality. The DNA encoding and secure key generation are employed in the proposed technique to obtain the encrypted medical image. The combination of these techniques addresses the main boundaries of existing disadvantage by increasing both security and calculation efficiency, making it well suited for real time medical applications. The experimental analysis was carried out with various parameters like histogram analysis, correlation coefficient, Chi square, MSE, PSNR, entropy etc. The result analysis states that the proposed methodology outperforms the state-of-the-art existing methods with enhanced performance such as entropy of 7.9981, Correlation coefficient of 0.0019 and PSNR of 53.97. Also, the proposed methodology is tested for runtime analysis, memory analysis and security analysis.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- A secure medical image encryption technique based on DNA cryptography with elliptic curves
- Date Crossref
- 06/06/2025
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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SRM Institute of Science and Technology Department of Electronics and Communication Engineering pays non établi dans la noticeUniversité ou école supérieure
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Symbiosis International University pays non établi dans la noticeUniversité ou école supérieure
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King Saud University Department of Self-Development Skill pays non établi dans la noticeUniversité ou école supérieure
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Amhara Agricultural Research Institute Éthiopie (code pays fourni par la source)Organisme public
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Kebri Dehar University Department of Computer Science Éthiopie (pays nommé en fin d’affiliation)Université ou école supérieure
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Chitkara University Centre for Research Impact & Outcome pays non établi dans la noticeUniversité ou école supérieure
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Leeds Beckett University pays non établi dans la noticeUniversité ou école supérieure
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Rajalakshmi Engineering College Department of Computer Science and Business Systems pays non établi dans la noticeUniversité ou école supérieure
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Symbiosis International (Deemed University) Symbiosis Institute of Computer Studies and Research (SICSR) pays non établi dans la noticeUniversité ou école supérieure
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College of Computer and Information Sciences Computer Science Department pays non établi dans la noticeUniversité ou école supérieure
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Chennai Institute of Technology Department of Computer Science and Engineering pays non établi dans la noticeStructure de recherche
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School of Built Environment pays non établi dans la noticeUniversité ou école supérieure
Department of Electronics and Communication Engineering — SRM Institute of Science and Technology, Symbiosis International University et Department of Self-Development Skill — King Saud University, avec 9 autres affiliations. Pays d’affiliation : Éthiopie.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.