Double image encryption based on the reciprocal-orthogonal parametric transform and chaotic maps

Seif Eddine Azoug, S. Bouguezel
{"title":"Double image encryption based on the reciprocal-orthogonal parametric transform and chaotic maps","authors":"Seif Eddine Azoug, S. Bouguezel","doi":"10.1109/WOSSPA.2013.6602354","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a double image encryption method based on the reciprocal-orthogonal parametric (Rap) transform and chaotic maps. In this method, a complex-valued image is constructed by two secret real-valued images, one as amplitude and the other as phase. In addition, two chaotic random phase masks are generated using two non-independent chaotic maps; one mask is multiplied by the resulting complex-valued image before applying the two-dimensional (2-D) Rap transform and the other one is multiplied by the resulting matrix in the transform domain. This step is then followed by a chaotic scrambling between the real and imaginary parts before applying another 2-D Rap transform, which yields the encrypted image. The independent parameters of the Rap transforms and the parameters of the chaotic maps used for the masks and scrambling are successfully exploited as an encryption secret key. Simulation results demonstrate the robustness of the proposed method against blind decryption, brute force and statistical attacks.","PeriodicalId":417940,"journal":{"name":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WOSSPA.2013.6602354","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

In this paper, we propose a double image encryption method based on the reciprocal-orthogonal parametric (Rap) transform and chaotic maps. In this method, a complex-valued image is constructed by two secret real-valued images, one as amplitude and the other as phase. In addition, two chaotic random phase masks are generated using two non-independent chaotic maps; one mask is multiplied by the resulting complex-valued image before applying the two-dimensional (2-D) Rap transform and the other one is multiplied by the resulting matrix in the transform domain. This step is then followed by a chaotic scrambling between the real and imaginary parts before applying another 2-D Rap transform, which yields the encrypted image. The independent parameters of the Rap transforms and the parameters of the chaotic maps used for the masks and scrambling are successfully exploited as an encryption secret key. Simulation results demonstrate the robustness of the proposed method against blind decryption, brute force and statistical attacks.
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
基于往复式正交参数变换和混沌映射的双图像加密
本文提出了一种基于逆正交参数变换和混沌映射的双图像加密方法。该方法由两个秘密实值图像组成复值图像,一个作为振幅,另一个作为相位。另外,利用两个非独立混沌映射生成两个混沌随机相位掩模;在应用二维(2-D) Rap变换之前,一个掩模乘以得到的复值图像,另一个掩模乘以变换域中得到的矩阵。在此步骤之后,在应用另一个二维Rap变换之前,在实部和虚部之间进行混沌置乱,从而产生加密图像。利用Rap变换的独立参数和用于掩码和置乱的混沌映射的参数成功地作为加密密钥。仿真结果证明了该方法对盲解密、暴力破解和统计攻击的鲁棒性。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Tensor estimation and visualization using dMRI Effect of multi-users and multipaths on the performance of an adaptive serial acquisition scheme for DS/CDMA systems Relay self interference minimisation using tapped filter New procedure in designing 2D-IIR filters based on 2D-FIR filters approximation Empirical mode decomposition based support vector machines for microemboli classification
×
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学术文献互助
Book学术文献互助群
群 号:481959085
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