Private and Cheating-Free Outsourcing of Algebraic Computations

David Benjamin, M. Atallah
{"title":"Private and Cheating-Free Outsourcing of Algebraic Computations","authors":"David Benjamin, M. Atallah","doi":"10.1109/PST.2008.12","DOIUrl":null,"url":null,"abstract":"We give protocols for the secure and private outsourcing of linear algebra computations, that enable a client to securely outsource expensive algebraic computations (like the multiplication of huge matrices) to two remote servers, such that the servers learn nothing about the customer's private input or the result of the computation,and any attempted corruption of the answer by the servers is detected with high probability. The computational work done locally by the client is linear in the size of its input and does not require the client to carry out locally any expensive encryptions of such input.The computational burden on the servers is proportional to the time complexity of the current practically used algorithms for solving the algebraic problem (e.g., proportional to n3 for multiplying two ntimesn matrices). If the servers were to collude against the client,then they would only find out the client's private inputs, but they would not be able to corrupt the answer without detection by the client.","PeriodicalId":422934,"journal":{"name":"2008 Sixth Annual Conference on Privacy, Security and Trust","volume":"5 7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"211","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Sixth Annual Conference on Privacy, Security and Trust","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PST.2008.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 211

Abstract

We give protocols for the secure and private outsourcing of linear algebra computations, that enable a client to securely outsource expensive algebraic computations (like the multiplication of huge matrices) to two remote servers, such that the servers learn nothing about the customer's private input or the result of the computation,and any attempted corruption of the answer by the servers is detected with high probability. The computational work done locally by the client is linear in the size of its input and does not require the client to carry out locally any expensive encryptions of such input.The computational burden on the servers is proportional to the time complexity of the current practically used algorithms for solving the algebraic problem (e.g., proportional to n3 for multiplying two ntimesn matrices). If the servers were to collude against the client,then they would only find out the client's private inputs, but they would not be able to corrupt the answer without detection by the client.
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
代数计算的私有和无作弊外包
我们给出了用于线性代数计算的安全和私有外包的协议,它使客户能够安全地将昂贵的代数计算(如巨大矩阵的乘法)外包给两个远程服务器,这样服务器就不会了解客户的私有输入或计算结果,并且服务器对答案的任何企图破坏都是高概率检测到的。客户机在本地完成的计算工作在其输入的大小上是线性的,并且不需要客户机在本地对此类输入执行任何昂贵的加密。服务器上的计算负担与当前用于解决代数问题的实际使用算法的时间复杂度成正比(例如,与n3相乘两个ntimesn矩阵成正比)。如果服务器串通起来反对客户端,那么它们只会发现客户端的私人输入,但它们无法在客户端检测不到的情况下破坏答案。
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
Incorporating Privacy Outcomes: Teaching an Old Dog New Tricks LogView: Visualizing Event Log Clusters Unlinkable Communication The Uncertainty of the Truth Model-Checking for Software Vulnerabilities Detection with Multi-Language Support
×
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