All-or-nothing disclosure of secrets
Proceedings on Advances in cryptology---CRYPTO '86
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
Location Privacy in Mobile Systems: A Personalized Anonymization Model
ICDCS '05 Proceedings of the 25th IEEE International Conference on Distributed Computing Systems
The new Casper: query processing for location services without compromising privacy
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
A peer-to-peer spatial cloaking algorithm for anonymous location-based service
GIS '06 Proceedings of the 14th annual ACM international symposium on Advances in geographic information systems
Anonymous Usage of Location-Based Services Through Spatial and Temporal Cloaking
Proceedings of the 1st international conference on Mobile systems, applications and services
PRIVE: anonymous location-based queries in distributed mobile systems
Proceedings of the 16th international conference on World Wide Web
Preventing Location-Based Identity Inference in Anonymous Spatial Queries
IEEE Transactions on Knowledge and Data Engineering
Private queries in location based services: anonymizers are not necessary
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Blind evaluation of nearest neighbor queries using space transformation to preserve location privacy
SSTD'07 Proceedings of the 10th international conference on Advances in spatial and temporal databases
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An important privacy issue in Location Based Services (LBS) is to hide a user's identity and location while still providing quality location based services. A user's identity can be easily hidden through anonymous web browsing services. However, a user's location can reveal a user's identity. For example, a user at home may want to ask queries such as "Find the nearest hospital around me" through a GPS enabled mobile phone but he may not be willing to dislose his own location. A common way to achieve location privacy is through cloaking, e.g. the client sends a cloaked region to the server and filters the results to find the exact answer. Recently, Private Information Retrieval has been adopted to answer private location-based queries. However, we argue that ensuring the server does not reveal more data than what is queried is important at the same time. In this paper, we propose an efficient two-level solution based on two cryptographic protocols: PIR and Oblivious Transfer. Our solution is a general-purpose one and can use either a two-level PIR [2] or it can use a combination of PIR and Oblivious Transfer [11]. Our approach provides privacy for the user/client, does not use a trusted party or anonymizer, is provably privacy-preserving, and when compared to previous approaches ensures that the server reveals as minimum data as is required, and the data that is released by the server is as fine-grained or precise as possible.