Description

To improve the security on cloud storage in the name of integrity large volume of data can be taken to preserve non-accessible. To achieve the privacy-preserving goals of different users roles, numerous approaches from different research are required. Flow has been reviewed recent progress in related trainings, and deliberated problems awaiting to be auxiliary investigated. Data miner and query investigated communication has get progressed easily by using hadoop training work. Accuracy has to get induced with the help of machine learning techniques and privacy has been protect by cryptographic challenges.