Boosting Byzantine Protocols in Large Sparse Networks with High System Assumption Coverage

Shaolin Yu, Jihong Zhu, Jiali Yang, Yulong Zhan
{"title":"Boosting Byzantine Protocols in Large Sparse Networks with High System Assumption Coverage","authors":"Shaolin Yu, Jihong Zhu, Jiali Yang, Yulong Zhan","doi":"10.1109/ICPADS53394.2021.00097","DOIUrl":null,"url":null,"abstract":"To improve the overall efficiency and reliability of Byzantine protocols in large sparse networks, we propose a new system assumption for developing multi-scale fault-tolerant systems, with which several kinds of multi-scale Byzantine protocols are developed in large sparse networks with high system assumption coverage. By extending the traditional Byzantine adversary to the multi-scale adversaries, it is shown that efficient deterministic Byzantine broadcast and Byzantine agreement can be built in logarithmic-degree networks. Meanwhile, it is shown that the multi-scale adversary can make a finer trade-off between the system assumption coverage and the overall efficiency of the Byzantine protocols, especially when a small portion of the low-layer small-scale protocols are allowed to fail arbitrarily. With this, efficient Byzantine protocols can be built in large sparse networks with high system reliability.","PeriodicalId":309508,"journal":{"name":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE 27th International Conference on Parallel and Distributed Systems (ICPADS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPADS53394.2021.00097","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

To improve the overall efficiency and reliability of Byzantine protocols in large sparse networks, we propose a new system assumption for developing multi-scale fault-tolerant systems, with which several kinds of multi-scale Byzantine protocols are developed in large sparse networks with high system assumption coverage. By extending the traditional Byzantine adversary to the multi-scale adversaries, it is shown that efficient deterministic Byzantine broadcast and Byzantine agreement can be built in logarithmic-degree networks. Meanwhile, it is shown that the multi-scale adversary can make a finer trade-off between the system assumption coverage and the overall efficiency of the Byzantine protocols, especially when a small portion of the low-layer small-scale protocols are allowed to fail arbitrarily. With this, efficient Byzantine protocols can be built in large sparse networks with high system reliability.
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
高系统假设覆盖率的大型稀疏网络中拜占庭协议的增强
为了提高拜占庭协议在大型稀疏网络中的整体效率和可靠性,提出了开发多尺度容错系统的新系统假设,并在此基础上开发了几种具有高系统假设覆盖率的大型稀疏网络中的多尺度拜占庭协议。通过将传统的拜占庭对手扩展到多尺度对手,证明了在对数度网络中可以建立有效的确定性拜占庭广播和拜占庭协议。同时,研究表明,多尺度攻击者可以在系统假设覆盖率和拜占庭协议的整体效率之间做出更好的权衡,特别是当允许一小部分低层小规模协议任意失效时。利用这种方法,可以在大型稀疏网络中构建高效的拜占庭协议,并具有较高的系统可靠性。
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
Choosing Appropriate AI-enabled Edge Devices, Not the Costly Ones Collaborative Transmission over Intermediate Links in Duty-Cycle WSNs Efficient Asynchronous GCN Training on a GPU Cluster A Forecasting Method of Dual Traffic Condition Indicators Based on Ensemble Learning Simple yet Efficient Deployment of Scientific Applications in the Cloud
×
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