BibTeX:

@article{IJIRSTV2I2059,
     title={K-Nearest Neighbor Query Processing},
     author={Anuja and Shinu Acca Mani},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={2},
     number={2},
     pages={183--189},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV2I2059.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

User’s locations and there interested are different. Collecting large amount of data to the user is very difficult. Sometime information is very sensitive; handling the information is very difficult task. Information storage also very big issue.so data owner does not make data accessible in all customers. It’s allowed only paying customers. User send their current location points and want to know about nearest POIs in NN but data Owner does not have that much storage capacity so we are using cloud service. Cloud provides power full storage at low cost but Cloud is not fully trusted. So we are using processing of NN queries in an untrusted outsourced environment, whereas at an equivalent time protective the POI and querying users’ location positions. Our techniques based on mutable order preserving encoding (mOPE). It is a secure order-preserving encryption. We provide performance of the optimizations process is increase and decrease the computational cost.

Location Privacy, Spatial Databases, Database Outsourcing, Mutable Order Preserving Encoding