Privacy-Preserving Publicly Verifiable Databases
Wang Q(王强)2; Zhou FC(周福才)2; Zhou BY(周搏洋)2; Xu J(徐剑)2; Chen CY(陈春雨)1; Wang Q(王琪)3
刊名IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
2022
卷号19期号:3页码:1639-1654
关键词Cloud computing Encryption Protocols Indexes Verifiable databases privacy-preserving publicly verifiable cloud computing
ISSN号1545-5971
产权排序2
英文摘要

Verifiable databases (VDB) enables the data owner to outsource a huge unencrypted database to the powerful but untrusted cloud such that any client could later retrieve the database and check whether the cloud returns valid records or not. To the best of our knowledge, there is no prior work considering privacy. Besides, they assume that the data owner and the client are fully trusted while they may be semi-honest in the real world. To address these problems, we propose a new primitive called privacy-preserving publicly verifiable database (PPVDB), which not only guarantees the integrity of the queried result but also leaks no information. At the end of this protocol, the client can check whether the cloud returns a valid result and learns the queried result but nothing else about the database. Besides, the cloud learns nothing about the database and the query, and the data owner does not know which item that the client has queried. Motivated by the comparison among some strawman solutions, we incorporate verifiable computation for the polynomial with oblivious pseudorandom function to construct a PPVDB scheme, which is the first VDB scheme providing stronger security against the malicious cloud and the semi-honest client and data owner.

语种英语
WOS记录号WOS:000795125300015
资助机构Natural Science Foundation of China [62072090, 61872069, 61772127, 61703088] ; Fundamental Research Funds for the Central Universities [N171704005] ; Shenyang Science and Technology Plan Projects [18-013-0-01]
内容类型期刊论文
源URL[http://ir.sia.cn/handle/173321/30993]  
专题沈阳自动化研究所_工业控制网络与系统研究室
通讯作者Zhou FC(周福才)
作者单位1.Shenyang Institute of Automation, Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang 110016, China
2.Software College, Northeastern University, Shenyang 11003, China
3.College of Sciences, Northeastern University, Shenyang 11003, China
推荐引用方式
GB/T 7714
Wang Q,Zhou FC,Zhou BY,et al. Privacy-Preserving Publicly Verifiable Databases[J]. IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING,2022,19(3):1639-1654.
APA Wang Q,Zhou FC,Zhou BY,Xu J,Chen CY,&Wang Q.(2022).Privacy-Preserving Publicly Verifiable Databases.IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING,19(3),1639-1654.
MLA Wang Q,et al."Privacy-Preserving Publicly Verifiable Databases".IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING 19.3(2022):1639-1654.
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