基于RSA密码系统和混沌映射的图像认证与加密算法

IF 7.5 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Expert Systems with Applications Pub Date : 2025-05-15 Epub Date: 2025-02-21 DOI:10.1016/j.eswa.2025.126883
Deep Singh, Sandeep Kumar
{"title":"基于RSA密码系统和混沌映射的图像认证与加密算法","authors":"Deep Singh,&nbsp;Sandeep Kumar","doi":"10.1016/j.eswa.2025.126883","DOIUrl":null,"url":null,"abstract":"<div><div>In the era of today’s open network communication, security issues of private data over these networks are at their peak, and it is challenging to secure data transmission. Therefore, to overcome these security crises, cryptographers need to develop efficient and robust encryption algorithms. This article proposes a new multilayer image ciphering scheme along with a modified authentication technique for grayscale and color images by using the RSA public key cryptosystem and two chaotic maps. The chaotic key sequences generated through a 2D piecewise smooth non-linear chaotic map (2D-PSNCM) are utilized to perform permutation of rows and columns to enhance the level of confusion. Also, bitwise XOR is applied to fulfill an intricate level of diffusion. To decrease the correlation and to strengthen the security level, the scrambling of pixels is created by using a suitable number of iterations of the Baker map. For authenticity purposes, the modified digital signature is proposed by using the RSA public key cryptosystem for partially encrypted images. The proposed digital signature is employed for further encryption purposes as well. The scheme provides multilayer security and is well-protected against different brute-force attacks. The secret keys and their arrangement in each layer of encryption are imperative for the correct decryption. The proposed algorithm’s robustness and efficiency are verified using multiple RGB and grayscale images. Security analysis demonstrates the validation by comparing it with some recent cryptographic image encryption algorithms. These results show the proposed algorithm’s robustness, such as vast sizeable keyspace, very low correlation coefficient, high sensitivity for keys, and good information entropy. Altogether, this proves the high efficiency of the proposed algorithm in resisting statistical attacks.</div></div>","PeriodicalId":50461,"journal":{"name":"Expert Systems with Applications","volume":"274 ","pages":"Article 126883"},"PeriodicalIF":7.5000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Image authentication and encryption algorithm based on RSA cryptosystem and chaotic maps\",\"authors\":\"Deep Singh,&nbsp;Sandeep Kumar\",\"doi\":\"10.1016/j.eswa.2025.126883\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In the era of today’s open network communication, security issues of private data over these networks are at their peak, and it is challenging to secure data transmission. Therefore, to overcome these security crises, cryptographers need to develop efficient and robust encryption algorithms. This article proposes a new multilayer image ciphering scheme along with a modified authentication technique for grayscale and color images by using the RSA public key cryptosystem and two chaotic maps. The chaotic key sequences generated through a 2D piecewise smooth non-linear chaotic map (2D-PSNCM) are utilized to perform permutation of rows and columns to enhance the level of confusion. Also, bitwise XOR is applied to fulfill an intricate level of diffusion. To decrease the correlation and to strengthen the security level, the scrambling of pixels is created by using a suitable number of iterations of the Baker map. For authenticity purposes, the modified digital signature is proposed by using the RSA public key cryptosystem for partially encrypted images. The proposed digital signature is employed for further encryption purposes as well. The scheme provides multilayer security and is well-protected against different brute-force attacks. The secret keys and their arrangement in each layer of encryption are imperative for the correct decryption. The proposed algorithm’s robustness and efficiency are verified using multiple RGB and grayscale images. Security analysis demonstrates the validation by comparing it with some recent cryptographic image encryption algorithms. These results show the proposed algorithm’s robustness, such as vast sizeable keyspace, very low correlation coefficient, high sensitivity for keys, and good information entropy. Altogether, this proves the high efficiency of the proposed algorithm in resisting statistical attacks.</div></div>\",\"PeriodicalId\":50461,\"journal\":{\"name\":\"Expert Systems with Applications\",\"volume\":\"274 \",\"pages\":\"Article 126883\"},\"PeriodicalIF\":7.5000,\"publicationDate\":\"2025-05-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Expert Systems with Applications\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0957417425005056\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/2/21 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Expert Systems with Applications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0957417425005056","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/2/21 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0

摘要

在当今开放网络通信的时代,这些网络上私有数据的安全问题达到了顶峰,数据传输的安全是一个挑战。因此,为了克服这些安全危机,密码学家需要开发高效、鲁棒的加密算法。本文提出了一种新的多层图像加密方案,并利用RSA公钥密码系统和两个混沌映射对灰度和彩色图像进行了改进的认证技术。利用二维分段光滑非线性混沌映射(2D- psncm)生成的混沌键序列进行行和列的置换,提高混沌水平。此外,位异或应用于实现复杂的扩散水平。为了降低相关性并增强安全级别,通过使用适当数量的Baker图迭代来创建置乱像素。为了保证图像的真实性,提出了对部分加密图像使用RSA公钥加密系统的改进数字签名。建议的数字签名也用于进一步的加密目的。该方案提供了多层安全性,可以很好地防御各种暴力攻击。密钥及其在每一层加密中的排列是正确解密的必要条件。通过多幅RGB和灰度图像验证了该算法的鲁棒性和有效性。安全性分析通过与一些最新的加密图像加密算法进行比较,验证了该算法的有效性。结果表明,该算法具有较大的键空间、极低的相关系数、较高的键灵敏度和良好的信息熵等鲁棒性。总的来说,这证明了该算法在抵抗统计攻击方面的高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Image authentication and encryption algorithm based on RSA cryptosystem and chaotic maps
In the era of today’s open network communication, security issues of private data over these networks are at their peak, and it is challenging to secure data transmission. Therefore, to overcome these security crises, cryptographers need to develop efficient and robust encryption algorithms. This article proposes a new multilayer image ciphering scheme along with a modified authentication technique for grayscale and color images by using the RSA public key cryptosystem and two chaotic maps. The chaotic key sequences generated through a 2D piecewise smooth non-linear chaotic map (2D-PSNCM) are utilized to perform permutation of rows and columns to enhance the level of confusion. Also, bitwise XOR is applied to fulfill an intricate level of diffusion. To decrease the correlation and to strengthen the security level, the scrambling of pixels is created by using a suitable number of iterations of the Baker map. For authenticity purposes, the modified digital signature is proposed by using the RSA public key cryptosystem for partially encrypted images. The proposed digital signature is employed for further encryption purposes as well. The scheme provides multilayer security and is well-protected against different brute-force attacks. The secret keys and their arrangement in each layer of encryption are imperative for the correct decryption. The proposed algorithm’s robustness and efficiency are verified using multiple RGB and grayscale images. Security analysis demonstrates the validation by comparing it with some recent cryptographic image encryption algorithms. These results show the proposed algorithm’s robustness, such as vast sizeable keyspace, very low correlation coefficient, high sensitivity for keys, and good information entropy. Altogether, this proves the high efficiency of the proposed algorithm in resisting statistical attacks.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Expert Systems with Applications
Expert Systems with Applications 工程技术-工程:电子与电气
CiteScore
13.80
自引率
10.60%
发文量
2045
审稿时长
8.7 months
期刊介绍: Expert Systems With Applications is an international journal dedicated to the exchange of information on expert and intelligent systems used globally in industry, government, and universities. The journal emphasizes original papers covering the design, development, testing, implementation, and management of these systems, offering practical guidelines. It spans various sectors such as finance, engineering, marketing, law, project management, information management, medicine, and more. The journal also welcomes papers on multi-agent systems, knowledge management, neural networks, knowledge discovery, data mining, and other related areas, excluding applications to military/defense systems.
期刊最新文献
SCSMamba: Spatial-channel sparse Mamba for event-based object detection SCIA-GAN: Robust image watermarking via spatial-channel interaction attention and feature preservation AMIS-DynaFlow: a multi-agent deep reinforcement learning framework with quantum-inspired operators for real-time patient flow optimization in oncology centers Context-fused emotional flow modeling for dynamic affective recognition in dialogue interactions MCMamba: A multi-scale correlation-aware model with Mamba for stock price forecasting
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1