A Hybrid Multi-user Cloud Access Control based Block Chain Framework for Privacy Preserving Distributed Databases

Most of the traditional medical applications are insecure and difficult to compute data integrity with variable hash size. Traditional security systems it depend on static parameters for security. Also, distributed based cloud storage independent computational due unstructured memory. As size its dimensions increasing in public private servers, is provide machine learning privacy preserving computing environment. Block-chain technology plays a vital role large databases. conventional block-chain frameworks existing confidentiality models. these models file format. In this model, novel verification encryption framework designed implemented order overcome problems environment, hybrid security-based framework,a decision tree classifier used along non-linear mathematical algorithm advanced attribute-based improve multiple users datasets. Experimental results proved that proposed has better efficiency than