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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


Xiao-ling Huang


Guo-dong Ye


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


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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%T Asymmetric pixel confusion algorithm for images based on RSA and Arnold transform
%A Xiao-ling Huang
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T1 - Asymmetric pixel confusion algorithm for images based on RSA and Arnold transform
A1 - Xiao-ling Huang
A1 - You-xia Dong
A1 - Kai-xin Jiao
A1 - Guo-dong Ye
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 21
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EP - 1794
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/FITEE.2000241

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.





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