A NOVEL SECURE LOCATION BASED SKYLINE QUERY PROCESSING

Location based services are having tremendous growth now a days due to smart phones and tablet devices. To improve the performance of the services several data management concepts have been proposed. Data management such as data outsourcing on the cloud and cloud service providers based data management are very popular. Here the cloud service providers are used to provide query services to the clients on behalf of the data owners. When there is process of data outsourcing and accessing by the cloud service provider may affect the security. And due to incorrect or incomplete query results to the clients may degrade the performance. So authorizing clients to authenticate query results is essential for outsourced databases. The proposed work overcomes the authentication problem for location based skyline process. The paper enhances the existing merkle skyline R tree method for dynamic objects in the road network. The proposed system also applies the spatial pre-obtain based approach which enables the clients to compute the new results during their mobility. The system performs the nearest neighbor method for fast data computation.