Abstract
Cloud computing cautiously facilitate the standard of data service outsourcing. However, to protect data solitude, responsive cloud data has to be encrypted before subcontract to the commercial public cloud. The conventional methods explore the encryption techniques which allow the users to shelter the search over encrypted data through keywords, they hold only Boolean search and are not yet adequate to meet the client’s prerequisite. To prevail over that, this project introduced secure ranked keyword search over encrypted cloud data is used. Ranked search enhances the system usability. It results to retrieve the file accuracy instead of sending undifferentiated results. Specifically, explore the statistical measure method is used to fetch the relevant data. One to many order preserving mapping procedure is used to shield the receptive data in the cloud. One to many order preserving mapping is an server side ranking. Technique protects from without losing keyword privacy. De-dupliction is done in result set to increase system usability.