文献类型：期刊文献

英文题名：Double image encryption algorithm based on compressive sensing and elliptic curve

作者：Ye, Guodong[1];Liu, Min[1];Wu, Mingfa[2]

机构：[1]Guangdong Ocean Univ, Fac Math & Comp Sci, Zhanjiang 524088, Peoples R China;[2]Guangdong Ocean Univ, Sch Management, Zhanjiang 524088, Peoples R China

年份：2022

卷号：61

期号：9

起止页码：6785

外文期刊名：ALEXANDRIA ENGINEERING JOURNAL

收录：SCI-EXPANDED(收录号：WOS:000752099800001)、、EI(收录号：20215111366100)、Scopus(收录号：2-s2.0-85121361607)、WOS

基金：The authors would like to thank the anonymous reviewers for their valuable comments and the editors helpful suggestions. This work was supported in part by the National Natural Science Foundation of China (No.61972103) , the Natural Science Foundation of Guangdong Province of China (No.2019A1515011361) , and the Key Scientific Research Pro-ject of Education Department of Guangdong Province of China (No.2020ZDZX3064) .

语种：英文

外文关键词：Discrete wavelet transform; Compressive sensing; Chaotic systems; Elliptic curve; Security

外文摘要：A new improved three-dimensional continuous chaotic system (ImproBsys) is designed in this paper. It can achieve from an ordinary chaotic state to a hyperchaotic state, that is, chaotic behavior tends to become more complex. Furthermore, by using ImproBsys, this paper proposes a double image encryption algorithm based on compressive sensing and public key elliptic curve. First, the two plain images of the same size are excuted by discrete wavelet transformation (DWT), and then the DWT coefficients are thresholded. Second, the quantization matrix is compressed by compressive sensing, and the size is reduced to half of the original one, and then the two compressed matrices are spliced together to form a new matrix. Finally, the new matrix is encrypted by elliptic curve cipher to get the cipher image. Our contributions are: (1) A new ImproBsys is designed with better chaotic behavior, which has two positive Lyapunov exponents to show hyperchaos phenomenon. (2) Compressive sensing technique is employed to reduce the amount of data transmission for two single images, and then we use ImproBsys to control the measurement matrix. (3) The initial values of the ImproBsys depend on the information entropy of the plain image by a new constructed mathematical model.(c) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).