Fault Tolerant finding in Code regeneration and auditing in Cloud storage

Abstract

To protect the outsourced data in cloud storage against corruptions and inconsistencies, adding up fault tolerance to cloud storage jointly with data integrity checking and failure reparation becomes necessary. Recently, the regenerating codes have gained significance due to their lower repair bandwidth and due to their fault tolerance capabilities. The Earlier remote checking methods for regenerating coded data only provides personal auditing and requires data owners to always keep online and handle auditing, as well as repairing, which is sometimes not practical. In this paper, we recommend a public auditing scheme for the regenerating-code-based cloud storage. To overcome this regeneration problem of failed authenticators in the lack of data owners, we commence a proxy, which is confidential to regenerate the authenticators, into the usual public auditing system model. Introduction of cloud audit server eliminates the contribution of user in the auditing and in the pre-processing phases. In our approach, the client cannot store any large set of data locally except a secret key which is required for encryption. In contrast with the previous methods, we also avoid the requirement of encrypting complete data at client side thereby saving client computational time. The proposed approach is also applicable for big static data such as video files, audio files and social networking data etc.