Secure KNN Query Processing in Untrusted Cloud Environents
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Abstract
Authentication on Location based services contributes major process of extracting queries on to client.While increasing data intensity in cloud may also need to improve scalability and stability. So it must preserve securely on violating environment. In this paper we are taking spatial queries to perform client side points of interest. We propose a family of cryptographic techniques that allow processing of NN queries in an untrusted outsourced environment, while at the same time protecting both the POI and querying users’ positions. Our techniques rely on mutable order preserving encoding (m-OPE), the only secure order-preserving encryption method known to-date. To decrease the computational cost inherent to processing on encrypted data, and we consider the case of incrementally updating datasets in the entire progress.
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