An Authenticated Encrypted Compressive Sensing based Imaging Mechanism

Tao Wu, C. Ruland
{"title":"An Authenticated Encrypted Compressive Sensing based Imaging Mechanism","authors":"Tao Wu, C. Ruland","doi":"10.1109/NTMS.2018.8328676","DOIUrl":null,"url":null,"abstract":"Compressive Sensing (CS) based imaging (CSI) method can recover N pixel information from only M measurements with N ≫ M, if the source information is sparse in some domain. With help of CSI mechanism an imaging system could capture information directly, meanwhile, the confidentiality could be also supported with some configuration due to the random projection, i.e., CSI method integrates sensing, compression and encryption in one step. However, image should be also protected against tampering and forgery, which could be realized by providing the origin and integrity. Since CSI method captures measurements instead of pixel information, the authenticity should be provided in an unconventional but semantic way. This paper introduces an Authenticated Encrypted Compressive Sensing based Imaging (AE-CSI) mechanism, which is constructed by the existed CSMAC and improved CSI mechanism, such that the system provides the origin, integrity and confidentiality of the target image while the sensing process.","PeriodicalId":140704,"journal":{"name":"2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NTMS.2018.8328676","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Compressive Sensing (CS) based imaging (CSI) method can recover N pixel information from only M measurements with N ≫ M, if the source information is sparse in some domain. With help of CSI mechanism an imaging system could capture information directly, meanwhile, the confidentiality could be also supported with some configuration due to the random projection, i.e., CSI method integrates sensing, compression and encryption in one step. However, image should be also protected against tampering and forgery, which could be realized by providing the origin and integrity. Since CSI method captures measurements instead of pixel information, the authenticity should be provided in an unconventional but semantic way. This paper introduces an Authenticated Encrypted Compressive Sensing based Imaging (AE-CSI) mechanism, which is constructed by the existed CSMAC and improved CSI mechanism, such that the system provides the origin, integrity and confidentiality of the target image while the sensing process.
基于认证加密压缩感知的成像机制
基于压缩感知(CS)的成像(CSI)方法可以从N > M的M个测量值中恢复N个像素信息,如果源信息在某些域中是稀疏的。借助CSI机制,成像系统可以直接捕获信息,同时由于其随机投影,还可以通过一些配置来支持机密性,即CSI方法集传感、压缩和加密于一体。然而,图像也要防止篡改和伪造,这可以通过提供来源和完整性来实现。由于CSI方法捕获的是测量值而不是像素信息,因此应该以一种非常规但语义化的方式提供真实性。本文介绍了一种基于认证加密压缩感知的成像(AE-CSI)机制,该机制由现有的CSMAC和改进的CSI机制构建而成,使系统在感知过程中提供目标图像的来源、完整性和机密性。
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 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:481959085
Book学术官方微信