Private search on key-value stores with hierarchical indexes

Haibo Hu, Jianliang Xu, Xizhong Xu, Kexin Pei, Byron Choi, Shuigeng Zhou

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

16 Citations (Scopus)

Abstract

Query processing that preserves both the query privacy at the client and the data privacy at the server is a new research problem. It has many practical applications, especially when the queries are about the sensitive attributes of records. However, most existing studies, including those originating from data outsourcing, address the data privacy and query privacy separately. Although secure multiparty computation (SMC) is a suitable computing paradigm for this problem, it has significant computation and communication overheads, thus unable to scale up to large datasets. Fortunately, recent advances in cryptography bring us two relevant tools - conditional oblivious transfer and homomorphic encryption. In this paper, we integrate database indexing techniques with these tools in the context of private search on key-value stores. We first present an oblivious index traversal framework, in which the server cannot trace the index traversal path of a query during evaluation. The framework is generic and can support a wide range of query types with a suitable homomorphic encryption algorithm in place. Based on this framework, we devise secure protocols for classic key search queries on B+-tree and R-tree indexes. Our approach is verified by both security analysis and performance study.
Original languageEnglish
Title of host publication2014 IEEE 30th International Conference on Data Engineering, ICDE 2014
PublisherIEEE Computer Society
Pages628-639
Number of pages12
ISBN (Print)9781479925544
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event30th IEEE International Conference on Data Engineering, ICDE 2014 - Chicago, IL, United States
Duration: 31 Mar 20144 Apr 2014

Conference

Conference30th IEEE International Conference on Data Engineering, ICDE 2014
Country/TerritoryUnited States
CityChicago, IL
Period31/03/144/04/14

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

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