Automating Efficient RAM-Model Secure Computation

Chang Liu, Yan Huang, E. Shi, Jonathan Katz, M. Hicks
{"title":"Automating Efficient RAM-Model Secure Computation","authors":"Chang Liu, Yan Huang, E. Shi, Jonathan Katz, M. Hicks","doi":"10.1109/SP.2014.46","DOIUrl":null,"url":null,"abstract":"RAM-model secure computation addresses the inherent limitations of circuit-model secure computation considered in almost all previous work. Here, we describe the first automated approach for RAM-model secure computation in the semi-honest model. We define an intermediate representation called SCVM and a corresponding type system suited for RAM-model secure computation. Leveraging compile-time optimizations, our approach achieves order-of-magnitude speedups compared to both circuit-model secure computation and the state-of-art RAM-model secure computation.","PeriodicalId":196038,"journal":{"name":"2014 IEEE Symposium on Security and Privacy","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"106","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Symposium on Security and Privacy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SP.2014.46","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 106

Abstract

RAM-model secure computation addresses the inherent limitations of circuit-model secure computation considered in almost all previous work. Here, we describe the first automated approach for RAM-model secure computation in the semi-honest model. We define an intermediate representation called SCVM and a corresponding type system suited for RAM-model secure computation. Leveraging compile-time optimizations, our approach achieves order-of-magnitude speedups compared to both circuit-model secure computation and the state-of-art RAM-model secure computation.
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
自动化高效的ram模型安全计算
ram模型安全计算解决了电路模型安全计算的固有局限性。在这里,我们描述了半诚实模型中ram模型安全计算的第一种自动化方法。我们定义了一个称为SCVM的中间表示和一个适合于ram模型安全计算的相应类型系统。利用编译时优化,与电路模型安全计算和最先进的ram模型安全计算相比,我们的方法实现了数量级的速度提升。
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
Wysteria: A Programming Language for Generic, Mixed-Mode Multiparty Computations From Zygote to Morula: Fortifying Weakened ASLR on Android Quantifying Information Flow for Dynamic Secrets KCoFI: Complete Control-Flow Integrity for Commodity Operating System Kernels Analyzing Forged SSL Certificates in the Wild
×
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