Authentication of location-based skyline queries
Proceedings of the 20th ACM international conference on Information and knowledge management
Authentication of range query results in mapreduce environments
Proceedings of the third international workshop on Cloud data management
Authenticating location-based services without compromising location privacy
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
Authentication of moving range queries
Proceedings of the 21st ACM international conference on Information and knowledge management
Enforcing k nearest neighbor query integrity on road networks
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Predictive spatio-temporal queries: a comprehensive survey and future directions
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Security of graph data: hashing schemes and definitions
Proceedings of the 4th ACM conference on Data and application security and privacy
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A moving kNN query continuously reports the k nearest neighbors of a moving query point. In addition to the query result, a service provider that evaluates moving queries often returns mobile clients a safe region that bounds the validity of query results to minimize the communication cost between the two parties. However, when a service provider is not trustworthy, it may send inaccurate query results or incorrect safe regions to clients. In this paper, we present a framework and algorithms to authenticate results and safe regions of moving kNN queries. Extensive experiments on both real and synthetic datasets show that our methods are efficient in terms of both computation time and communication costs.