As cloud storage has grown all over the world, there are a large number of clients uses this distributed storage technology. The big concern of cloud users are data integrity and availability of the outsourced data. Here we introduced a recovering code based data integrity model to secure data in the distributed storage. Data integrity checking permits the data to securely store in the server storage. The proposed work additionally deals with the dynamic request of the data storage. In this model, third party auditor (TPA) generates the verification model by the help of server. The server gives the proof generation for the particular request to the TPA. The TPA utilizes the flexible regeneration method and enhances security. In this paper, we propose an Adaptive Social Ski-Driver (ASSD) optimization for effective minimization of the repair cost. Also, the faults detected with autoencoder. The makespan of repair cost is limited with the assistance of an adaptive model for every conceivable instance of single hub failures. The obtained results demonstrate that the ASSD algorithm performs well than existing and the other optimization algorithms.
Volume 12 | Issue 4
Pages: 40-55
DOI: 10.5373/JARDCS/V12I4/20201416