NDLI: A Multiple-Medical-Image Encryption Method Based on SHA-256 and DNA Encoding.

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A Multiple-Medical-Image Encryption Method Based on SHA-256 and DNA Encoding.

Content Provider	Europe PMC
Author	Wu, Junfeng Zhang, Jialu Liu, Dong Wang, Xiaofeng
Editor	Sparavigna, Amelia Carolina
Copyright Year	2023
Abstract	Ensuring the privacy and secrecy of digital medical images has become a pressing issue as a result of the quick development of smart medical technology and the exponential growth in the quantity of medical images transmitted and stored in networks. The lightweight multiple-image encryption approach for medical images that is suggested in this research can encrypt/decrypt any number of medical photos of varied sizes with just one encryption operation and has a computational cost that is similar to encrypting a single image. The plaintext images with different sizes are filled at the right and bottom of the image to ensure that the size of all plaintext images is uniform; then, all the filled images are stacked to obtain a superimposed image. The initial key, which is generated using the SHA-256 technique, is then used as the starting value of the linear congruence algorithm to create the encryption key sequence. The cipher picture is then created by encrypting the superimposed image with the encryption key and DNA encoding. The algorithm can be made even more secure by implementing a decryption mechanism that decrypts the image independently in order to reduce the possibility of information leaking during the decryption process. The outcomes of the simulation experiment demonstrate the algorithm’s strong security and resistance to interference such as noise pollution and lost image content.
Journal	Entropy (Basel, Switzerland)
Volume Number	25
PubMed Central reference number	PMC10296823
Issue Number	6
PubMed reference number	37372242
e-ISSN	10994300
DOI	10.3390/e25060898
Language	English
Publisher	MDPI
Publisher Date	2023-06-03
Access Restriction	Open
Rights License	Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). © 2023 by the authors.
Subject Keyword	medical image encryption multiple-image encryption hash function linear congruence DNA encoding
Content Type	Text
Resource Type	Article
Subject	Physics and Astronomy Information Systems Electrical and Electronic Engineering Mathematical Physics

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