{"title":"MPC for Securing Internet Infrastructure","authors":"Kris Shrishak, Haya Shulman","doi":"10.1109/dsn-s50200.2020.00026","DOIUrl":null,"url":null,"abstract":"Secure multiparty computation (MPC) allows multiple entities to perform joint computation over their private inputs, revealing only the output. Although it was considered to be \"not efficient enough\" for many years, recent advances have shown that secure computation can be practical for specific applications. These applications have ranged from privacy-preserving auctions to private machine learning. In this work we explore the use of MPC for securing Internet infrastructure. We show that basic Internet systems, such as routing and DNS, rely on centralised authorities. Nevertheless, vulnerabilities as well as conflicting interests often make this requirement for trust not suitable for practical purposes. In this work, we set forth to explore replacement of trust in centralised authorities in Internet infrastructure with secure MPC.","PeriodicalId":419045,"journal":{"name":"2020 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/dsn-s50200.2020.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Secure multiparty computation (MPC) allows multiple entities to perform joint computation over their private inputs, revealing only the output. Although it was considered to be "not efficient enough" for many years, recent advances have shown that secure computation can be practical for specific applications. These applications have ranged from privacy-preserving auctions to private machine learning. In this work we explore the use of MPC for securing Internet infrastructure. We show that basic Internet systems, such as routing and DNS, rely on centralised authorities. Nevertheless, vulnerabilities as well as conflicting interests often make this requirement for trust not suitable for practical purposes. In this work, we set forth to explore replacement of trust in centralised authorities in Internet infrastructure with secure MPC.
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
保护互联网基础设施的MPC
安全多方计算(MPC)允许多个实体对其私有输入执行联合计算,只显示输出。尽管多年来人们一直认为安全计算“不够有效”,但最近的进展表明,安全计算对于特定的应用是可行的。这些应用范围从保护隐私的拍卖到私人机器学习。在这项工作中,我们探索使用MPC来保护互联网基础设施。我们展示了基本的互联网系统,如路由和DNS,依赖于集中的权威。然而,脆弱性和利益冲突往往使这种信任要求不适合实际目的。在这项工作中,我们着手探索用安全的MPC取代对互联网基础设施中中央权威的信任。
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
The Monitor as Key Architecture Element for Safe Self-Driving Cars Simulating Reliability of IoT Networks with RelIoT The Effect of Motion on PPG Heart Rate Sensors Secure Consensus Generation with Distributed DoH Pitfalls of Provably Secure Systems in Internet the Case of Chronos-NTP
×
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