A new efficient medical image cipher based on hybrid chaotic map and DNA code

• Published in: Multimedia tools and applications Vol. 80; no. 2; pp. 1925 - 1944
• Main Authors: Guesmi, Ramzi, Farah, M. A. Ben
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.01.2021; Springer Nature B.V
• Subjects: Algorithms; Computer Communication Networks; Computer Science; Data Structures and Information Theory; Deoxyribonucleic acid; DNA; Encryption; Entropy (Information theory); Gene sequencing; Medical imaging; Multimedia Information Systems; Special Purpose and Application-Based Systems; Chaos; Image encryption; SHA-2; Entropy; DNA
• ISSN: 1380-7501; 1573-7721
• DOI: 10.1007/s11042-020-09672-1

In this paper, we propose a novel medical image encryption algorithm based on a hybrid model of deoxyribonucleic acid (DNA) masking, a Secure Hash Algorithm SHA-2 and a new hybrid chaotic map. Our study uses DNA sequences and operations and the chaotic hybrid map to strengthen the cryptosystem. The significant advantages of this approach consist in improving the information entropy which is the most important feature of randomness, resisting against various typical attacks and getting good experimental results. The theoretical analysis and experimental results show that the algorithm improves the encoding efficiency, enhances the security of the ciphertext, has a large key space and a high key sensitivity, and is able to resist against the statistical and exhaustive attacks.