Efficient Fine Grained Access Control with Semantic Keyword Search on Encrypted Cloud Storage

Abstract

Using cloud computing, multi data owner can store their data on remote servers and allow data access to private users through the cloud servers.The cloud characteristics are on-demand self-service, location independent network access, ubiquitous network access and usage based pay. Due to this charming features private and public organization are outsourcing their large amount of data on cloud storage. First, we introduce in the cloud framework for multi data owners. Multi data owners upload the files in encrypted form using ECC algorithm. User can register the aadhar card number to the cloud multi data owner. The multi data owner can generate the two keys to allow access the data. User can request to multi data owner. Cloud data storage can provide the encrypted data. This encrypted data is strong protection for data backup and recovery purposes. There are two keys are used in the plaintext form to be converted in the cipher text form. Another key will generate and converted in the decrypt form using fuzzy method and semantic search. Finally user can retrieve the data from the server and access our data.The existing solutions supports only identical keyword search, semantic search is not supported. In the project we proposed semantic multi-keyword ranked search system with verifiable outsourced decryption. To improve search efficiency this system includes semantic search by using fuzzy search.