SecLoc: Encryption system based on compressive sensing measurements for location estimation

Dimitris Milioris, P. Jacquet
{"title":"SecLoc: Encryption system based on compressive sensing measurements for location estimation","authors":"Dimitris Milioris, P. Jacquet","doi":"10.1109/INFCOMW.2014.6849210","DOIUrl":null,"url":null,"abstract":"In this paper we present an efficient encryption system based on Compressive Sensing, without the additional computational cost of a separate encryption protocol, when applied to indoor location estimation problems. The breakthrough of the method is the use of the weakly encrypted measurement matrices which are generated when solving the optimization problem to localize the source. It must be noted that in this method an alternative key is required to secure the system.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"78 1","pages":"171-172"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOMW.2014.6849210","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

In this paper we present an efficient encryption system based on Compressive Sensing, without the additional computational cost of a separate encryption protocol, when applied to indoor location estimation problems. The breakthrough of the method is the use of the weakly encrypted measurement matrices which are generated when solving the optimization problem to localize the source. It must be noted that in this method an alternative key is required to secure the system.
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
SecLoc:用于位置估计的基于压缩感知测量的加密系统
在本文中,我们提出了一个有效的基于压缩感知的加密系统,当应用于室内位置估计问题时,没有额外的加密协议的计算成本。该方法的突破点在于利用求解优化问题时生成的弱加密测量矩阵对源进行定位。必须注意的是,在这种方法中,需要一个替代密钥来保护系统。
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
Online Node Cooperation Strategy Design for Hierarchical Federated Learning Learning Features of Brain Network for Anomaly Detection Demo abstract: EL-SEC: ELastic management of security applications on virtualized infrastructure Measuring Web Latency in Cellular Networks Reliability and maintainability analysis and its toolbased on deep learning for fault big data
×
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: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