Analysis Of Secure Geometric Range Search Over Encrypted Spatial Data

Abstract

The overall subject matter of the cloud data is existing on the remote server is to be controlled with minimal computation by means of data owner and data users. The data is stored away in encrypted form to save our anonymity activities. Reachability is one of the issues faced by cloud customers and LBS groups. A novel and light-weight scheme, named, Geometric Range Search Model (GRSM) that retrieves the quest data from cipher text dataset. The information is taken into consideration as factors and the group of factors denotes the cipher text database. Bloom filter is the that includes all viable combination of seeking tokens. The proposed GRSM comprise three levels, namely, Encryption segment, Token technology segment and Search Each section serves as input/ output to retrieve the search statistics. An investigational result shows the effectiveness of the proposed set of rules.