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CLC number: TP37

On-line Access: 2020-12-10

Received: 2020-05-20

Revision Accepted: 2020-09-21

Crosschecked: 2020-10-29

Cited: 0

Clicked: 2266

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Xiao-ling Huang

https://orcid.org/0000-0001-6129-1188

Guo-dong Ye

https://orcid.org/0000-0003-4222-1824

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Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.12 P.1783-1794

http://doi.org/10.1631/FITEE.2000241


Asymmetric pixel confusion algorithm for images based on RSA and Arnold transform


Author(s):  Xiao-ling Huang, You-xia Dong, Kai-xin Jiao, Guo-dong Ye

Affiliation(s):  Faculty of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang 524088, China

Corresponding email(s):   guodongye@hotmail.com

Key Words:  Rivest-Shamir-Adleman (RSA), Arnold map, Pixel confusion, Asymmetric algorithm, Image confusion


Xiao-ling Huang, You-xia Dong, Kai-xin Jiao, Guo-dong Ye. Asymmetric pixel confusion algorithm for images based on RSA and Arnold transform[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(12): 1783-1794.

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Abstract: 
We propose a new asymmetric pixel confusion algorithm for images based on the rivest-Shamir-Adleman (RSA) public-key cryptosystem and arnold map. First, the RSA asymmetric algorithm is used to generate two groups of Arnold transform parameters to address the problem of symmetrical distribution of arnold map parameters. Second, the image is divided into blocks, and the first group of parameters is used to perform Arnold confusion on each sub-block. Then, the second group of parameters is used to perform Arnold confusion on the entire image. The image correlation is thereby fully weakened, and the image confusion degree and effect are further enhanced. The experimental results show that the proposed image pixel confusion algorithm has better confusion effect than the classical arnold map based confusion and the row-column exchange based confusion. Specifically, the values of gray difference are close to one. In addition, the security of the new confusion operation is dependent on RSA, and it can act as one part of a confusion-substitution structure in a cipher.

基于RSA和Arnold变换的非对称图像混淆算法

黄小玲,董友霞,焦开心,叶国栋
广东海洋大学数学与计算机学院,中国湛江市,524088

摘要:提出一种新的基于Rivest-Shamir-Adleman(RSA)公钥密码系统和Arnold映射的非对称像素混淆算法。首先,为解决Arnold映射参数对称分布问题,采用RSA非对称算法生成两组Arnold映射变换参数。其次,将图像分成图像块,并利用第一组参数对各图像块进行Arnold混淆。然后,使用第二组参数对整个图像进行Arnold混淆。从而,充分削弱图像相关性,进一步提高图像混淆程度和效果。试验结果表明,相比于基于经典Arnold映射混淆和基于行列交换混淆,本文所提图像像素混淆算法具有更好混淆效果。具体来说,灰度差的值均接近于0。另外,新的混淆操作安全性依赖于RSA,可作为密码学中混淆-替换结构的一部分。

关键词:Rivest-Shamir-Adleman(RSA);Arnold映射;像素混淆;非对称算法;图像混淆

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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