Improving Search Efficiency of Encrypted Cloud Data

CLOUD computing is a new technique to provide and consume the services based on the Internet, by providing for virtualized resources as a service. This is provided over the network. To protect the privacy of the sensitive data, the data stored in the cloud have to be encrypted before outsourced to the commercial public cloud. In such case, the effective data utilization service is a very challenging task. The searchable encryption techniques already developed allow users to securely search over encrypted data through keywords, but the problem is that they support only Boolean search and are not yet sufficient to meet the effective data utilization. In existing system they have used a ranked search technique. The crypto primitive OPSE is developed and an efficient one-to-many order preserving mapping function is derived. It allows the effective RSSE to be designed. To improve the search accuracy of the ranked search, in proposed work we implement the nearest neighbour search technique in which we find Euclidean distance between two vectors.