ChaDRaL: RGB Image Encryption based on 3D Chaotic Map, DNA, RSA and LSB

Nirali Parekh, L. D'mello
{"title":"ChaDRaL: RGB Image Encryption based on 3D Chaotic Map, DNA, RSA and LSB","authors":"Nirali Parekh, L. D'mello","doi":"10.1109/aimv53313.2021.9670921","DOIUrl":null,"url":null,"abstract":"ChaDRaL, an RGB image encryption process built on Chaos, DNA, RSA and LSB is introduced in this work. ChaDRaL leverages the advantages of symmetric and asymmetric cryptography as well as steganography. On one hand, the image is first encrypted with a symmetric algorithm combining DNA sequence operations and Lorenz chaotic system. On the other hand, the encryption key which is utilized to encrypt the media is now itself encrypted with an asymmetric algorithm i.e. RSA. Lastly, this encrypted key is concealed in the cipher image using LSB steganographic scheme. As a result, the problem of key transfer is also eliminated. A variety of test images are utilized to put the ChaDRaL algorithm to test. The suggested method’s security analysis reveals little correlation among image pixels, high entropy, and uniform distribution in histogram of cipher image. Also, it shows considerable performance in terms of established metrics such as UACI, NPCR, PSNR and SSIM. The simulation results demonstrate the capability of ChaDRaL to achieve quality encryption while resisting statistical and differential attacks.","PeriodicalId":135318,"journal":{"name":"2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Artificial Intelligence and Machine Vision (AIMV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/aimv53313.2021.9670921","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

ChaDRaL, an RGB image encryption process built on Chaos, DNA, RSA and LSB is introduced in this work. ChaDRaL leverages the advantages of symmetric and asymmetric cryptography as well as steganography. On one hand, the image is first encrypted with a symmetric algorithm combining DNA sequence operations and Lorenz chaotic system. On the other hand, the encryption key which is utilized to encrypt the media is now itself encrypted with an asymmetric algorithm i.e. RSA. Lastly, this encrypted key is concealed in the cipher image using LSB steganographic scheme. As a result, the problem of key transfer is also eliminated. A variety of test images are utilized to put the ChaDRaL algorithm to test. The suggested method’s security analysis reveals little correlation among image pixels, high entropy, and uniform distribution in histogram of cipher image. Also, it shows considerable performance in terms of established metrics such as UACI, NPCR, PSNR and SSIM. The simulation results demonstrate the capability of ChaDRaL to achieve quality encryption while resisting statistical and differential attacks.
ChaDRaL:基于三维混沌图、DNA、RSA和LSB的RGB图像加密
ChaDRaL是一种基于混沌、DNA、RSA和LSB的RGB图像加密算法。ChaDRaL利用对称和非对称密码学以及隐写术的优点。首先用DNA序列运算和洛伦兹混沌系统相结合的对称算法对图像进行加密。另一方面,用于加密媒体的加密密钥现在本身是用非对称算法(即RSA)加密的。最后,使用LSB隐写方案将该加密密钥隐藏在密码图像中。因此,也消除了密钥传输的问题。利用各种测试图像对ChaDRaL算法进行测试。该方法的安全性分析表明,图像像素之间的相关性小,熵大,在密码图像的直方图中分布均匀。此外,它在UACI、NPCR、PSNR和SSIM等既定指标方面也表现出色。仿真结果表明,ChaDRaL能够在抵抗统计攻击和差分攻击的同时实现高质量的加密。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信