Secured data storage and error tolerant design in cloud computing

Enormous amount of data are being stored and transferred between various heterogeneous databases across the globe. Data stored in the databases are vulnerable to threats and attacks. Data loss during transmission and corruption are also inevitable. In order to provide a sustainable storage environment handling such limitations, systems should be reliable and fault tolerant. In this research work, an innovative mechanism which provides secure data storage with recovery mechanisms during faults is developed. Distributed data storage security is rendered by data partitioning technique and the failed processes are handled by self diagnosis and recovery oriented computing provides error tolerance. The experimental analysis shows that this method gives improved security when compared with existing system.