Secure and Efficient Query Retrieval in Cloud Storage using Erasure Code System

A cloud storage system consist group of storage servers, through the internet it provides multiple services to the vendor. The encrypted user’s data in cloud should be confidential and secured scheme. To protect confidentiality, supposed to designs encryption standard, but also limit the functionality of the storage scheme because a certain operations are continual over encrypted data. To construct a protected storage scheme that supports multiple purposes is tough when the storage scheme is distributed and has no centered authority. The distributed cloud storage scheme provides secure and robust data storage, retrieval and also permits a client store and retrieves data in the storage servers to another client. The aim is to reduce the time utilization to access the data to the vendor’s, forward the queries between the vendor’s and the storage server, because the machine based approach is used to integrates encrypting, encoding and forwarding the vendor’s data. The data are encrypted based on the machine capabilities through the ZIPF automation tool and it’s stored in the cloud using Generalization scheme. Bandwidth allocated to the data build from pattern classification, it improves the efficiency of the data storage. Queries are efficiently processed by Erasure code system, which automatically remove the query request stored in the queue buffer after getting the query response.