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JOIG 2023 Vol.11(2):153-160
doi: 10.18178/joig.11.2.153-160

An Enhanced Security in Medical Image Encryption Based on Multi-level Chaotic DNA Diffusion

Mousumi Gupta1,*, Snehashish Bhattacharjee 2, and Biswajoy Chatterjee2
1. Department of Computer Applications, Sikkim Manipal Institute of Technology, Sikkim, India
2. Department of Computer Science and Engineering, University of Engineering & Management, Kolkata, India; Email: snehashishbhattacharjee@gmail.com (S.B.); biswajoy.chatterjee@iemcal.com (B.C.)
*Correspondence: mousumi.g@smit.smu.edu.in (M.G.)

Manuscript received December 12, 2022; revised March 24, 2023; accepted April 9, 2023.

Abstract—A novel medical image encryption technique has been proposed based on the features of DNA encodingdecoding in combination with Logistic map approach. The approach is proven for encryption of highly sensitive medical images with 100 percent integrity or negligible data loss. Testing is done on both high and low-resolution images. Proposed encryption technique consists of two levels of diffusion using the actual structure of the DNA. In the first level of diffusion process, we have used DNA encoding and decoding operations to generate DNA sequence of each pixel. The originality of the work is to use a long DNA structure stored in a text file stored on both sender and receiver’s end to improve the performance of the proposed method. In this initial level of diffusion, DNA sequences are generated for each pixe-land in each of the DNA sequence. Index values are obtained by employing a search operation on the DNA structure. This index values are further modified and ready to be used for next diffusion process. In the second level diffusion, a highly chaotic logistic map is iterated to generate sequences and is employed to extract the chaotic values to form the cipher images. The correlation coefficient analysis, Histogram analysis, Entropy analysis, NPCR, and UACI exhibit significant results. Therefore; the proposed technique can play an important role in the security of low-resolution medical images as well as other visible highly sensitive images.

Keywords—Encryption, DNA, ChaoticMap

Cite: Mousumi Gupta*, Snehashish Bhattacharjee, and Biswajoy Chatterjee, "An Enhanced Security in Medical Image Encryption Based on Multi-level Chaotic DNA Diffusion," Journal of Image and Graphics, Vol. 11, No. 2, pp. 153-160, June 2023.

Copyright © 2023 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.