Document Type

Conference Paper

Department/Unit

Department of Computer Science

Title

Processing private queries over untrusted data cloud through privacy homomorphism

Language

English

Abstract

Query processing that preserves both the data privacy of the owner and the query privacy of the client is a new research problem. It shows increasing importance as cloud computing drives more businesses to outsource their data and querying services. However, most existing studies, including those on data outsourcing, address the data privacy and query privacy separately and cannot be applied to this problem. In this paper, we propose a holistic and efficient solution that comprises a secure traversal framework and an encryption scheme based on privacy homomorphism. The framework is scalable to large datasets by leveraging an index-based approach. Based on this framework, we devise secure protocols for processing typical queries such as k-nearest-neighbor queries (kNN) on R-tree index. Moreover, several optimization techniques are presented to improve the efficiency of the query processing protocols. Our solution is verified by both theoretical analysis and performance study. © 2011 IEEE.

Publication Date

2011

Source Publication Title

The 2011 IEEE 27th International Conference on Data Engineering

Start Page

601

End Page

612

Conference Location

Hannover, Germany

Publisher

IEEE

DOI

10.1109/ICDE.2011.5767862

Link to Publisher's Edition

http://dx.doi.org/10.1109/ICDE.2011.5767862

ISBN (print)

9781424489596

ISBN (electronic)

9781424489589

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