利用关键字搜索提高公钥加密性能的研究

Bin Long, Dawu Gu, Ning Ding, Haining Lu
{"title":"利用关键字搜索提高公钥加密性能的研究","authors":"Bin Long, Dawu Gu, Ning Ding, Haining Lu","doi":"10.1109/CSC.2012.29","DOIUrl":null,"url":null,"abstract":"Searchable encryption enables users to search over encrypted data without revealing original data. The public key encryption with keyword search (PEKS) is a construction of searchable encryption proposed by Boneh et al. using a public key system. In this paper, we investigate Boneh et al's PEKS construction under the case of full text search, and We design a new index structure which can accelerate the search procedure with a large keywords amount. We also analyze the security of the new construction in the random oracle model.","PeriodicalId":183800,"journal":{"name":"2012 International Conference on Cloud and Service Computing","volume":"74 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"On Improving the Performance of Public Key Encryption with Keyword Search\",\"authors\":\"Bin Long, Dawu Gu, Ning Ding, Haining Lu\",\"doi\":\"10.1109/CSC.2012.29\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Searchable encryption enables users to search over encrypted data without revealing original data. The public key encryption with keyword search (PEKS) is a construction of searchable encryption proposed by Boneh et al. using a public key system. In this paper, we investigate Boneh et al's PEKS construction under the case of full text search, and We design a new index structure which can accelerate the search procedure with a large keywords amount. We also analyze the security of the new construction in the random oracle model.\",\"PeriodicalId\":183800,\"journal\":{\"name\":\"2012 International Conference on Cloud and Service Computing\",\"volume\":\"74 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Cloud and Service Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSC.2012.29\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Cloud and Service Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSC.2012.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

摘要

可搜索加密使用户可以在不泄露原始数据的情况下搜索加密数据。关键字搜索公钥加密(PEKS)是Boneh等人利用公钥系统提出的一种可搜索加密的构造。本文研究了Boneh等人在全文检索情况下的PEKS构建方法,设计了一种新的索引结构,可以在关键词量大的情况下加快检索速度。我们还在随机oracle模型中分析了新结构的安全性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Improving the Performance of Public Key Encryption with Keyword Search
Searchable encryption enables users to search over encrypted data without revealing original data. The public key encryption with keyword search (PEKS) is a construction of searchable encryption proposed by Boneh et al. using a public key system. In this paper, we investigate Boneh et al's PEKS construction under the case of full text search, and We design a new index structure which can accelerate the search procedure with a large keywords amount. We also analyze the security of the new construction in the random oracle model.
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
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