Novel medical image encryption scheme based on chaos a DNA encoding

Belazi, Akram, Talha, Muhammad, Kharbech, Sofiane, and Xiang, Wei (2019) Novel medical image encryption scheme based on chaos a DNA encoding. IEEE Access, 7. pp. 36667-36681.

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Abstract

In this paper, we propose a new chaos-based encryption scheme for medical images. It is based on a combination of chaos and DNA computing under the scenario of two encryption rounds, preceded by a key generation layer, and follows the permutation-substitution-diffusion structure. The SHA-256 hash function alongside the initial secret keys is employed to produce the secret keys of the chaotic systems. Each round of the proposed algorithm involves six steps, i.e., block-based permutation, pixel-based substitution, DNA encoding, bit-level substitution (i.e., DNA complementing), DNA decoding, and bit-level diffusion. A thorough search of the relevant literature yielded only this time the pixel-based substitution and the bit-level substitution are used in cascade for image encryption. The key-streams in the bit-level substitution are based on the logistic-Chebyshev map, while the sine-Chebyshev map allows producing the key-streams in the bit-level diffusion. The final encrypted image is obtained by repeating once the previous steps using new secret keys. Security analyses and computer simulations both confirm that the proposed scheme is robust enough against all kinds of attacks. Its low complexity indicates its high potential for real-time and secure image applications.

Item ID: 58188
Item Type: Article (Research - C1)
ISSN: 2169-3536
Keywords: Image encryption, medical images, permutation and diffusion, S-box, chaos, DNA encoding, SHA-256 hash function
Copyright Information: © 2019 IEEE.
Date Deposited: 01 May 2019 07:39
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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