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EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
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EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
A Proposed Architecture for Trusted Third Party Services
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Proceedings of the 2003 ACM SIGMOD international conference on Management of data
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Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Cover story: they know where you are
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Querying about the Past, the Present, and the Future in Spatio-Temporal Databases
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Group Nearest Neighbor Queries
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
An architecture for privacy-sensitive ubiquitous computing
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SINA: scalable incremental processing of continuous queries in spatio-temporal databases
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SECONDO: An Extensible DBMS Platform for Research Prototyping and Teaching
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Proceedings of the 13th annual ACM international workshop on Geographic information systems
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Privacy Preserving Query Processing Using Third Parties
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
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VLDB '06 Proceedings of the 32nd international conference on Very large data bases
The new Casper: query processing for location services without compromising privacy
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
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GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
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HOTOS'03 Proceedings of the 9th conference on Hot Topics in Operating Systems - Volume 9
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VLDB '02 Proceedings of the 28th international conference on Very Large Data Bases
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IEEE Transactions on Knowledge and Data Engineering
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VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Vision paper: enabling privacy for the paranoids
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
PLACE: a query processor for handling real-time spatio-temporal data streams
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
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IEEE Transactions on Mobile Computing
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Proceedings of the 15th annual ACM international symposium on Advances in geographic information systems
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SUTC '08 Proceedings of the 2008 IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing (sutc 2008)
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Proceedings of the 2008 ACM SIGMOD international conference on Management of data
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IEEE Security and Privacy
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
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UbiComp '07 Proceedings of the 9th international conference on Ubiquitous computing
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SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
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MobiDE '12 Proceedings of the Eleventh ACM International Workshop on Data Engineering for Wireless and Mobile Access
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SSDBM'12 Proceedings of the 24th international conference on Scientific and Statistical Database Management
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Mobile Networks and Applications
Protecting query privacy in location-based services
Geoinformatica
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In this article, we present a new privacy-aware query processing framework, Capser*, in which mobile and stationary users can obtain snapshot and/or continuous location-based services without revealing their private location information. In particular, we propose a privacy-aware query processor embedded inside a location-based database server to deal with snapshot and continuous queries based on the knowledge of the user's cloaked location rather than the exact location. Our proposed privacy-aware query processor is completely independent of how we compute the user's cloaked location. In other words, any existing location anonymization algorithms that blur the user's private location into cloaked rectilinear areas can be employed to protect the user's location privacy. We first propose a privacy-aware query processor that not only supports three new privacy-aware query types, but also achieves a trade-off between query processing cost and answer optimality. Then, to improve system scalability of processing continuous privacy-aware queries, we propose a shared execution paradigm that shares query processing among a large number of continuous queries. The proposed scalable paradigm can be tuned through two parameters to trade off between system scalability and answer optimality. Experimental results show that our query processor achieves high quality snapshot and continuous location-based services while supporting queries and/or data with cloaked locations.