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Two-Server Private Information Retrieval with Result Verification
2022
会议录名称IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY - PROCEEDINGS
ISSN2157-8095
卷号2022-June
页码408-413
发表状态已发表
DOI10.1109/ISIT50566.2022.9834706
摘要

Private information retrieval (PIR) allows a client to retrieve any block xi from a database x = x1 xn such that i remains hidden from the database servers. PIR •protocols with unconditional privacy and sublinear (in n) communication complexity can be constructed assuming multiple honest-but-curious servers. This assumption however cannot be guaranteed in many real life scenarios such as using cloud servers as database servers. In this paper, we consider an information-theoretic PIR with result verification (PIR-RV) model where the servers may be dishonest (i.e., cheating) and provide incorrect answers but the client can detect the existence of cheating servers. We construct a 2-server PIR-RV protocol with communication complexity O(n1/2 log p) where p is a parameter and controls the probability that the client fails to detect. Our idea may be extended to construct k-server PIR-RV protocols for k ≥ 3. © 2022 IEEE.

关键词Computational complexity Information retrieval Information theory Cloud servers Communication complexity Data-base servers K-server Private information retrieval Private information retrieval protocols Result verifications Sublinear Verification model
会议名称2022 IEEE International Symposium on Information Theory, ISIT 2022
会议地点Espoo, Finland
会议日期June 26, 2022 - July 1, 2022
收录类别EI
语种英语
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20223512624801
EI主题词Database systems
EI分类号716.1 Information Theory and Signal Processing ; 721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory ; 723.3 Database Systems ; 903.3 Information Retrieval and Use
原始文献类型Conference article (CA)
文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/219703
专题信息科学与技术学院_硕士生
信息科学与技术学院_PI研究组_张良峰组
信息科学与技术学院_博士生
作者单位
Shanghai Tech University, The School of Information Science and Technology, Shanghai, China
第一作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
GB/T 7714
Ke, Pengzhen,Zhang, Liang Feng. Two-Server Private Information Retrieval with Result Verification[C]:Institute of Electrical and Electronics Engineers Inc.,2022:408-413.
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