Journal
SAUDI JOURNAL OF BIOLOGICAL SCIENCES
Volume 24, Issue 8, Pages 1821-1827Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.sjbs.2017.11.023
Keywords
Logistic-sine mapping; Position scrambling; Image encryption; Hyper-chaotic system
Categories
Funding
- six talent peaks project in Jiangsu Province of China [DZXX-006]
- 333 high level personnel training project Jiangsu Province of China
- Natural Science Foundation of Jiangsu Province of China [BK20161536]
- Priority Academic Program Development of Jiangsu Higher Education Institutions
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Digital images are now widely used in modern clinic diagnosis. The diagnostic images with confidential information related to patients' privacy are stored and transmitted via public networks. Secured schemes to guarantee confidentiality of patients' privacy are becoming more and more vital. This paper proposes an adaptive medical image encryption algorithm based on improved chaotic mapping in order to overcome the defects of the existing chaotic image encryption algorithm. First, the algorithm used Logistic-sine chaos mapping to scramble the plain image. Then, the scrambled image was divided into 2-by-2 sub blocks. By using the hyper-chaotic system, the sub blocks were adaptively encrypted until all the sub block encryption was completed. By analyzing the key space, the information entropy, the correlation coefficient and the plaintext sensitivity of the algorithm, experimental results show that the proposed algorithm overcomes the shortcoming of lack of diffusion in single direction encryption. It could effectively resist all kinds of attacks and has better security and robustness. (C) 2017 The Authors. Production and hosting by Elsevier B.V. on behalf of King Saud University.
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