文献类型：期刊文献

英文题名：Visually meaningful image encryption algorithm based on digital signature

作者：Huang, Xiaoling[1];Dong, Youxia[1];Ye, Guodong[1];Yap, Wun-She[2];Goi, Bok-Min[2]

机构：[1]Guangdong Ocean Univ, Fac Math & Comp Sci, Zhanjiang 524088, Peoples R China;[2]Univ Tunku Abdul Rahman, Lee Kong Chian Fac Engn & Sci, Cheras 43000, Selangor, Malaysia

年份：2023

卷号：9

期号：1

起止页码：159

外文期刊名：DIGITAL COMMUNICATIONS AND NETWORKS

收录：SCI-EXPANDED(收录号：WOS:000951563200001)、、EI(收录号：20241015710973)、Scopus(收录号：2-s2.0-85139269746)、WOS

基金：The authors would like to thank the anonymous reviewers for their valuable comments and the editor's 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) , the Postgraduate Education Innova- tion Project of Guangdong Ocean University of China (No.202143) , the Guangdong Postgraduate Education Innovation Project of China (No.2020JGXM059) , and the Key Scienti fi c Research Project of Educa- tion Department of Guangdong Province of China (2020ZDZX3064) .

语种：英文

外文关键词：Visually meaningful image encryption; Lifting wavelet transform; Lorenz system; Signature; Security

外文摘要：Traditional image encryption algorithms transform a plain image into a noise-like image. To lower the chances for the encrypted image being detected by the attacker during the image transmission, a visually meaningful image encryption scheme is suggested to hide the encrypted image using another carrier image. This paper proposes a visually mean-ingful encrypted image algorithm that hides a secret image and a digital signature which provides authenticity and confidentiality. The recovered digital signature is used for the purpose of identity authentication while the secret image is encrypted to protect its confidentiality. Least Significant Bit (LSB) method to embed signature on the encrypted image and Lifting Wavelet Transform (LWT) to generate a visually meaningful encrypted image are designed. The proposed algorithm has a keyspace of 139.5-bit, a Normalized Correlation (NC) value of 0.9998 which is closer to 1 and a Peak Signal to Noise Ratio (PSNR) with a value greater than 50 dB. Different analyses are also performed on the proposed algorithm using different images. The experimental results show that the proposed scheme is with high key sensitivity and strong robustness against pepper and salt attack and cropping attack. Moreover, the histogram analysis shows that the original carrier image and the final visual image are very similar.