Privacy preservation in the dissemination of location data
ACM SIGKDD Explorations Newsletter
A privacy-aware framework for participatory sensing
ACM SIGKDD Explorations Newsletter
The VLDB Journal — The International Journal on Very Large Data Bases
Adjusting the trade-off between privacy guarantees and computational cost in secure hardware PIR
SDM'11 Proceedings of the 8th VLDB international conference on Secure data management
Shortest path computation with no information leakage
Proceedings of the VLDB Endowment
Anonymous spatial query on non-uniform data
Proceedings of the 14th International Conference on Information Integration and Web-based Applications & Services
Trade area analysis using user generated mobile location data
Proceedings of the 22nd international conference on World Wide Web
Preserving location privacy without exact locations in mobile services
Frontiers of Computer Science: Selected Publications from Chinese Universities
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With many location-based services, it is implicitly assumed that the location server receives actual users locations to respond to their spatial queries. Consequently, information customized to their locations, such as nearest points of interest can be provided. However, there is a major privacy concern over sharing such sensitive information with potentially malicious servers, jeopardizing users’ private information. The anonymity- and cloaking-based approaches proposed to address this problem cannot provide stringent privacy guarantees without incurring costly computation and communication overhead. Furthermore, they require a trusted intermediate anonymizer to protect user locations during query processing. This paper proposes a fundamental approach based on private information retrieval to process range and K-nearest neighbor queries, the prevalent queries used in many location-based services, with stronger privacy guarantees compared to those of the cloaking and anonymity approaches. We performed extensive experiments on both real-world and synthetic datasets to confirm the effectiveness of our approaches.