Circular Range Search on Encrypted Spatial Data

Searchable encryption is a promising technique enabling meaningful search operations to be performed on encrypted databases while protecting user privacy from untrusted third-party service providers. However, while most of the existing works focus on common SQL queries, geometric queries on encrypte...

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Bibliographic Details
Published in:Proceedings of the International Conference on Distributed Computing Systems pp. 794 - 795
Main Authors: Wang, Boyang, Li, Ming, Wang, Haitao, Li, Hui
Format: Conference Proceeding Journal Article
Language:English
Published: IEEE 01.06.2015
Subjects:
Circularity
Cloud computing
Companies
Computer networks
Data privacy
Distributed processing
Encryption
Privacy
Queries
Searching
Servers
Spatial databases
ISSN:1063-6927
Online Access:Get full text
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Summary:Searchable encryption is a promising technique enabling meaningful search operations to be performed on encrypted databases while protecting user privacy from untrusted third-party service providers. However, while most of the existing works focus on common SQL queries, geometric queries on encrypted spatial data have not been well studied. Especially, circular range search is an important type of geometric query on spatial data which has wide applications, such as proximity testing in Location-Based Services and Delaunay triangulation in computational geometry. In this poster, we propose two novel symmetric-key searchable encryption schemes supporting circular range search. Informally, both of our schemes can correctly verify whether a point is inside a circle on encrypted spatial data without revealing data privacy or query privacy to a semi-honest cloud server. We formally define the security of our proposed schemes, prove that they are secure under Selective Chosen-Plaintext Attacks, and evaluate their performance through experiments in a real-world cloud platform (Amazon EC2). To the best of our knowledge, this work represents the first study in secure circular range search on encrypted spatial data.
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ISSN:1063-6927
DOI:10.1109/ICDCS.2015.113