外包数据库操作的可验证安全性

S. Evdokimov, M. Fischmann, O. Günther
{"title":"外包数据库操作的可验证安全性","authors":"S. Evdokimov, M. Fischmann, O. Günther","doi":"10.1109/ICDE.2006.121","DOIUrl":null,"url":null,"abstract":"Database outsourcing, whilst becoming more popular in recent years, is creating substantial security and privacy risks. In this paper, we assess cryptographic solutions to the problem that some client party (Alex) wants to outsource database operations on sensitive data sets to a service provider (Eve) without having to trust her. Contracts are an option, but for various reasons their effectiveness is limited [2]. Alex would rather like to use privacy homomorphisms [6], i.e., encryption schemes that transform relational data sets and queries into ciphertext such that (i) the data is securely hidden from Eve; and (ii) Eve computes hidden results from hidden queries that Alex can efficiently decrypt. Unfortunately, all privacy homomorphisms we know of lack a rigorous security analysis. Before they can be used in practice, we need formal definitions that are both sound and practical to assess their effectiveness.","PeriodicalId":6819,"journal":{"name":"22nd International Conference on Data Engineering (ICDE'06)","volume":"63 4 1","pages":"117-117"},"PeriodicalIF":0.0000,"publicationDate":"2006-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"35","resultStr":"{\"title\":\"Provable Security for Outsourcing Database Operations\",\"authors\":\"S. Evdokimov, M. Fischmann, O. Günther\",\"doi\":\"10.1109/ICDE.2006.121\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Database outsourcing, whilst becoming more popular in recent years, is creating substantial security and privacy risks. In this paper, we assess cryptographic solutions to the problem that some client party (Alex) wants to outsource database operations on sensitive data sets to a service provider (Eve) without having to trust her. Contracts are an option, but for various reasons their effectiveness is limited [2]. Alex would rather like to use privacy homomorphisms [6], i.e., encryption schemes that transform relational data sets and queries into ciphertext such that (i) the data is securely hidden from Eve; and (ii) Eve computes hidden results from hidden queries that Alex can efficiently decrypt. Unfortunately, all privacy homomorphisms we know of lack a rigorous security analysis. Before they can be used in practice, we need formal definitions that are both sound and practical to assess their effectiveness.\",\"PeriodicalId\":6819,\"journal\":{\"name\":\"22nd International Conference on Data Engineering (ICDE'06)\",\"volume\":\"63 4 1\",\"pages\":\"117-117\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"35\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"22nd International Conference on Data Engineering (ICDE'06)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDE.2006.121\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"22nd International Conference on Data Engineering (ICDE'06)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDE.2006.121","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 35

摘要

数据库外包虽然近年来变得越来越流行,但也带来了巨大的安全和隐私风险。在本文中,我们评估了一些客户端(Alex)想要将敏感数据集的数据库操作外包给服务提供商(Eve)而不必信任她的问题的加密解决方案。合同是一种选择,但由于种种原因,其效力有限。Alex更喜欢使用隐私同态[6],即将关系数据集和查询转换为密文的加密方案,这样(i)数据对Eve是安全隐藏的;(ii) Eve计算Alex可以有效解密的隐藏查询的隐藏结果。不幸的是,我们所知道的所有隐私同态都缺乏严格的安全性分析。在将它们用于实践之前,我们需要既可靠又实用的正式定义来评估它们的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Provable Security for Outsourcing Database Operations
Database outsourcing, whilst becoming more popular in recent years, is creating substantial security and privacy risks. In this paper, we assess cryptographic solutions to the problem that some client party (Alex) wants to outsource database operations on sensitive data sets to a service provider (Eve) without having to trust her. Contracts are an option, but for various reasons their effectiveness is limited [2]. Alex would rather like to use privacy homomorphisms [6], i.e., encryption schemes that transform relational data sets and queries into ciphertext such that (i) the data is securely hidden from Eve; and (ii) Eve computes hidden results from hidden queries that Alex can efficiently decrypt. Unfortunately, all privacy homomorphisms we know of lack a rigorous security analysis. Before they can be used in practice, we need formal definitions that are both sound and practical to assess their effectiveness.
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