Secure Public Auditing Using Batch Processing for Cloud Data Storage

Abstract

Cloud computing enables the users to outsource and access data economically from the distributed cloud server. Cloud provider offers data storage as a service and share the data across multiple authorized users in a cost-effective manner. In the cloud-computing model, once the data leaves the owner premises, there is no control of data to the data owner. To provide security for the outsources, data is one of the challenging tasks in cloud computing. Public auditing of outsourced data to verify the integrity of the data provides the data security. In this paper, we proposed a multisector public auditing system by utilizing a linear combination of homomorphic linear authenticator tags of the file blocks. Our proposed method performs the multiple auditing tasks simultaneously, without retrieving the entire file, which reduces the computation and communication overheads in the auditing. The analysis of the proposed system shows that, multisector public auditing method is better than the existing auditing method in terms of data security, communication, and computation overheads by utilizing linear combination of homomorphic linear authenticator tags of the file blocks. Our proposed method performs the multiple auditing tasks simultaneously, without retrieving the entire file, which reduces the computation and communication overheads in the auditing. The analysis of the proposed system shows that, multisector public auditing method is better than the existing auditing method in terms of data security, communication, and computation overheads.