An Efficient Secure Data Deduplication and Portability In Distributed Cloud Server Using Whirlpool-Hct And Lf-Wdo

Distributed Cloud Computing Storage has come up as a service that can expedite data owners (DO) to store their data remotely according to their application or data or file environment. However, insecure data storage, high uploading bandwidth, integration issues of DCS has breached the trustworthiness of the user to store data. In order to conquer the challenge, the work has developed a data Deduplication and portability-based secure data storage in DCS. The work aids to remove unwanted data and selects the most relevant features to avoid data loss by using GK-QDA Feature Reduction Method and HFG feature selection method. The selected cloud server for the respective data or application is analyzed for redundant data by data duplication using a whirlpool hashing algorithm followed by a hash chaining algorithm. Finally, to minimize the integration issues while moving the encrypted data between the DCS, the work has developed an LF-WDO technique. An experimental analysis has showed an enormous result by achieving a computation time of 2987 ms as compared to the existing methods