文献类型：期刊文献

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

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

机构：[1]Faculty of Mathematics and Computer Science,Guangdong Ocean University,Zhanjiang,524088,China;[2]Lee Kong Chian Faculty of Engineering and Science,Universiti Tunku Abdul Rahman,Jalan Sungai Long,Cheras,43000,Selangor,Malaysia

年份：2023

卷号：9

期号：1

起止页码：159

中文期刊名：Digital Communications and Networks

外文期刊名：数字通信与网络（英文版）

收录：Scopus、CSCD2023_2024、CSCD

基金：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 Innovation Project of Guangdong Ocean University of China (No.202143);the Guangdong Postgraduate Education Innovation Project of China (No.2020JGXM059);the Key Scientific Research Project of Education Department of Guangdong Province of China (2020ZDZX3064).

语种：英文

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

中文摘要：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 meaningful 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.