Toward Efficient and Reliable Private Set Computation in Decentralized Storage

IF 5.5 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Services Computing Pub Date : 2024-08-09 DOI:10.1109/TSC.2024.3441471
Yu Guo;Yuxin Xi;Yifang Zhang;Mingyue Wang;Shengling Wang;Xiaohua Jia
{"title":"Toward Efficient and Reliable Private Set Computation in Decentralized Storage","authors":"Yu Guo;Yuxin Xi;Yifang Zhang;Mingyue Wang;Shengling Wang;Xiaohua Jia","doi":"10.1109/TSC.2024.3441471","DOIUrl":null,"url":null,"abstract":"Decentralized storage is recognized as a promising blockchain application for building trustworthy data-sharing services. Recently, privacy-preserving decentralized storage has attracted tremendous attention from the research community, due to the inherent transparent access properties of blockchain. That is, multi-users can search over encrypted data from multi-owners via untrusted storage servers. Private Set Intersection (PSI) is regarded as an ideal cryptographic scheme for this scenario because it allows multiple parties to collaboratively execute private set computations without revealing additional information. However, existing solutions do not consider the necessary verification and fault tolerance of PSI results, which is the indispensable security requirements in decentralized storage. To fill the gap, in this work, we introduce the first reliable PSI scheme for decentralized storage that provides results verifiability and fault tolerance for private set operations. Our design leverages authenticated indexing structures and Shamir's secret sharing algorithm for constructing our reliable PSI scheme with fault tolerance. To address the potential malicious behaviors of dishonest users or servers, we also propose a blockchain-assisted arbitration protocol that enables public arbitration in a privacy-preserving manner. We rigorously provide security analysis and complete the prototype implementation on Fabric. Extensive results demonstrate its practicability and feasibility for existing decentralized storage.","PeriodicalId":13255,"journal":{"name":"IEEE Transactions on Services Computing","volume":null,"pages":null},"PeriodicalIF":5.5000,"publicationDate":"2024-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Services Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10632861/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

Decentralized storage is recognized as a promising blockchain application for building trustworthy data-sharing services. Recently, privacy-preserving decentralized storage has attracted tremendous attention from the research community, due to the inherent transparent access properties of blockchain. That is, multi-users can search over encrypted data from multi-owners via untrusted storage servers. Private Set Intersection (PSI) is regarded as an ideal cryptographic scheme for this scenario because it allows multiple parties to collaboratively execute private set computations without revealing additional information. However, existing solutions do not consider the necessary verification and fault tolerance of PSI results, which is the indispensable security requirements in decentralized storage. To fill the gap, in this work, we introduce the first reliable PSI scheme for decentralized storage that provides results verifiability and fault tolerance for private set operations. Our design leverages authenticated indexing structures and Shamir's secret sharing algorithm for constructing our reliable PSI scheme with fault tolerance. To address the potential malicious behaviors of dishonest users or servers, we also propose a blockchain-assisted arbitration protocol that enables public arbitration in a privacy-preserving manner. We rigorously provide security analysis and complete the prototype implementation on Fabric. Extensive results demonstrate its practicability and feasibility for existing decentralized storage.
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
在分散存储中实现高效可靠的私有集计算
去中心化存储被认为是建立可信数据共享服务的一种前景广阔的区块链应用。最近,由于区块链固有的透明访问特性,保护隐私的去中心化存储引起了研究界的极大关注。也就是说,多用户可以通过不受信任的存储服务器搜索来自多所有者的加密数据。私集交集(PSI)被认为是适用于这种情况的理想加密方案,因为它允许多方协作执行私集计算,而不会泄露额外信息。然而,现有的解决方案并没有考虑 PSI 结果所需的验证和容错,而这正是去中心化存储中不可或缺的安全要求。为了填补这一空白,我们在这项工作中为分散式存储引入了第一个可靠的 PSI 方案,它为私有集操作提供了结果可验证性和容错性。我们的设计利用经过验证的索引结构和沙米尔秘密共享算法,构建了具有容错功能的可靠 PSI 方案。为了解决不诚实用户或服务器的潜在恶意行为,我们还提出了一种区块链辅助仲裁协议,以保护隐私的方式实现公开仲裁。我们进行了严格的安全分析,并在 Fabric 上完成了原型实施。广泛的结果证明了它在现有去中心化存储中的实用性和可行性。
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
IEEE Transactions on Services Computing
IEEE Transactions on Services Computing COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
11.50
自引率
6.20%
发文量
278
审稿时长
>12 weeks
期刊介绍: IEEE Transactions on Services Computing encompasses the computing and software aspects of the science and technology of services innovation research and development. It places emphasis on algorithmic, mathematical, statistical, and computational methods central to services computing. Topics covered include Service Oriented Architecture, Web Services, Business Process Integration, Solution Performance Management, and Services Operations and Management. The transactions address mathematical foundations, security, privacy, agreement, contract, discovery, negotiation, collaboration, and quality of service for web services. It also covers areas like composite web service creation, business and scientific applications, standards, utility models, business process modeling, integration, collaboration, and more in the realm of Services Computing.
期刊最新文献
Dependency-Aware Task Offloading based on Application Hit Ratio Orchestration of Services in Smart Manufacturing through Automated Synthesis Exploiting Stragglers in Distributed Computing Systems with Task Grouping KA2SE: Key-Aggregation Authorized Searchable Encryption Scheme for Data Sharing in Wireless Sensor Networks RESTLess: Enhancing State-of-The-Art REST API Fuzzing With LLMs in Cloud Service Computing
×
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