Efficient Cost Models for Spatial Queries Using R-Trees
IEEE Transactions on Knowledge and Data Engineering
Location Privacy in Pervasive Computing
IEEE Pervasive Computing
CRYPTO '89 Proceedings of the 9th Annual International Cryptology Conference on Advances in Cryptology
Foundations of Cryptography: Volume 2, Basic Applications
Foundations of Cryptography: Volume 2, Basic Applications
Authenticating Query Results in Edge Computing
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Verifying completeness of relational query results in data publishing
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Dynamic authenticated index structures for outsourced databases
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Preventing Location-Based Identity Inference in Anonymous Spatial Queries
IEEE Transactions on Knowledge and Data Engineering
Proof-infused streams: enabling authentication of sliding window queries on streams
VLDB '07 Proceedings of the 33rd international conference on Very large data bases
Protecting Location Privacy with Personalized k-Anonymity: Architecture and Algorithms
IEEE Transactions on Mobile Computing
Supporting anonymous location queries in mobile environments with privacygrid
Proceedings of the 17th international conference on World Wide Web
Private queries in location based services: anonymizers are not necessary
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Authenticating the query results of text search engines
Proceedings of the VLDB Endowment
Query assurance verification for outsourced multi-dimensional databases
Journal of Computer Security - Selected papers from the Third and Fourth Secure Data Management (SDM) workshops
Spatial Outsourcing for Location-based Services
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Authenticated indexing for outsourced spatial databases
The VLDB Journal — The International Journal on Very Large Data Bases
Secure kNN computation on encrypted databases
Proceedings of the 2009 ACM SIGMOD International Conference on Management of data
Casper*: Query processing for location services without compromising privacy
ACM Transactions on Database Systems (TODS)
Aggregate and verifiably encrypted signatures from bilinear maps
EUROCRYPT'03 Proceedings of the 22nd international conference on Theory and applications of cryptographic techniques
Continuous authentication on relational streams
The VLDB Journal — The International Journal on Very Large Data Bases
Authenticating kNN query results in data publishing
SDM'07 Proceedings of the 4th VLDB conference on Secure data management
Privacy-aware location data publishing
ACM Transactions on Database Systems (TODS)
Authenticated Index Structures for Aggregation Queries
ACM Transactions on Information and System Security (TISSEC)
Nearest neighbor search with strong location privacy
Proceedings of the VLDB Endowment
Authentication of moving kNN queries
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Processing private queries over untrusted data cloud through privacy homomorphism
ICDE '11 Proceedings of the 2011 IEEE 27th International Conference on Data Engineering
Predictive spatio-temporal queries: a comprehensive survey and future directions
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Private proximity detection and monitoring with vicinity regions
Proceedings of the 12th International ACM Workshop on Data Engineering for Wireless and Mobile Acess
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The popularity of mobile social networking services (mSNSs) is propelling more and more businesses, especially those in retailing and marketing, into mobile and location-based forms. To address the trust issue, the service providers are expected to deliver their location-based services in an authenticatable manner, so that the correctness of the service results can be verified by the client. However, existing works on query authentication cannot preserve the privacy of the data being queried, which are sensitive user locations when it comes to location-based services and mSNSs. In this paper, we address this challenging problem by proposing a comprehensive solution that preserves unconditional location privacy when authenticating range queries. Three authentication schemes for $R$-tree and grid-file index, together with two optimization techniques, are developed. Cost models, security analysis, and experimental results consistently show the effectiveness, reliability and robustness of the proposed schemes under various system settings and query workloads.