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一种基于SHA-256和DNA编码的多医学图像加密方法。

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

作者信息

Wu Junfeng, Zhang Jialu, Liu Dong, Wang Xiaofeng

机构信息

Department of Applied Mathematics, Xi'an University of Technology, Xi'an 710049, China.

出版信息

Entropy (Basel). 2023 Jun 3;25(6):898. doi: 10.3390/e25060898.

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.

摘要

随着智能医疗技术的快速发展以及网络中传输和存储的医学图像数量呈指数级增长,确保数字医学图像的隐私和保密性已成为一个紧迫的问题。本研究中提出的用于医学图像的轻量级多图像加密方法,只需一次加密操作就能对任意数量、不同大小的医学照片进行加密/解密,其计算成本与加密单个图像相似。将不同大小的明文图像填充到图像的右侧和底部,以确保所有明文图像的大小一致;然后,将所有填充后的图像堆叠以获得叠加图像。使用SHA-256技术生成的初始密钥,随后用作线性同余算法的起始值来创建加密密钥序列。然后通过用加密密钥和DNA编码对叠加图像进行加密来创建密文图像。通过实施一种在解密过程中独立解密图像的解密机制,可使算法更加安全,以减少解密过程中信息泄露的可能性。模拟实验结果表明该算法具有很强的安全性,并且能抵抗噪声污染和图像内容丢失等干扰。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e906/10296823/b97b03718fe0/entropy-25-00898-g001.jpg

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