文献类型：期刊文献

英文题名：Asymmetric pixel confusion algorithm for images based on RSA and Arnold transform

作者：Huang, Xiao-ling[1];Dong, You-xia[1];Jiao, Kai-xin[1];Ye, Guo-dong[1]

机构：[1]Guangdong Ocean Univ, Fac Math & Comp Sci, Zhanjiang 524088, Peoples R China

年份：2020

卷号：21

期号：12

起止页码：1783

外文期刊名：FRONTIERS OF INFORMATION TECHNOLOGY & ELECTRONIC ENGINEERING

收录：SCI-EXPANDED(收录号：WOS:000601535500007)、、EI(收录号：20205209682811)、Scopus(收录号：2-s2.0-85097999566)、WOS

语种：英文

外文关键词：Rivest-Shamir-Adleman (RSA); Arnold map; Pixel confusion; Asymmetric algorithm; Image confusion; TP37

外文摘要：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.