DEMO: High-Throughput Secure Three-Party Computation of Kerberos Ticket Generation

Toshinori Araki, Assaf Barak, Jun Furukawa, Yehuda Lindell, Ariel Nof, Kazuma Ohara
{"title":"DEMO: High-Throughput Secure Three-Party Computation of Kerberos Ticket Generation","authors":"Toshinori Araki, Assaf Barak, Jun Furukawa, Yehuda Lindell, Ariel Nof, Kazuma Ohara","doi":"10.1145/2976749.2989035","DOIUrl":null,"url":null,"abstract":"Secure multi-party computation (SMPC) is a cryptographic tool that enables a set of parties to jointly compute any function of their inputs while keeping the privacy of inputs. The paper \"High Throughput Semi-Honest Secure Three-Party Computation with an Honest Majority\" in this ACM CCS 2016 [4] presents a new protocol which its implementation carried out over 1,300,000 AESs per second and was able to support 35,000 login queries of Kerberos authentication per second. This poster/demo presents the design of the implementation and demonstrates the Kerberos authentication over here. The design will show how this high-throughput three-party computation can be done using simple servers. The demonstration proves that secure multiparty computation of Kerberos authentications in large organizations is now practical.","PeriodicalId":432261,"journal":{"name":"Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2976749.2989035","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6

Abstract

Secure multi-party computation (SMPC) is a cryptographic tool that enables a set of parties to jointly compute any function of their inputs while keeping the privacy of inputs. The paper "High Throughput Semi-Honest Secure Three-Party Computation with an Honest Majority" in this ACM CCS 2016 [4] presents a new protocol which its implementation carried out over 1,300,000 AESs per second and was able to support 35,000 login queries of Kerberos authentication per second. This poster/demo presents the design of the implementation and demonstrates the Kerberos authentication over here. The design will show how this high-throughput three-party computation can be done using simple servers. The demonstration proves that secure multiparty computation of Kerberos authentications in large organizations is now practical.
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
演示:Kerberos票据生成的高吞吐量安全三方计算
安全多方计算(SMPC)是一种加密工具,它使一组各方能够共同计算其输入的任何函数,同时保持输入的隐私性。ACM CCS 2016[4]中的论文“High Throughput Semi-Honest Secure Three-Party Computation with an Honest Majority”提出了一种新的协议,其实现每秒执行超过130万次aes,每秒能够支持35,000次Kerberos认证的登录查询。这个海报/演示展示了实现的设计,并在这里演示了Kerberos身份验证。该设计将展示如何使用简单的服务器来完成这种高吞吐量的三方计算。该演示证明,在大型组织中Kerberos身份验证的安全多方计算现在是可行的。
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
∑oφoς: Forward Secure Searchable Encryption Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition Message-Recovery Attacks on Feistel-Based Format Preserving Encryption iLock: Immediate and Automatic Locking of Mobile Devices against Data Theft Prefetch Side-Channel Attacks: Bypassing SMAP and Kernel ASLR
×
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