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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