Privacy Preserving public Auditing Data for data storage security in Cloud computing - 2010

ABSTRACT:

Cloud Computing is that the long dreamed vision of computing as a utility, where users will remotely store their knowledge into the cloud thus as to fancy the on-demand top quality applications and services from a shared pool of configurable computing resources. By data outsourcing, users can be relieved from the burden of native knowledge storage and maintenance. However, the fact that users now not have physical possession of the probably giant size of outsourced data makes the information integrity protection in Cloud Computing a terribly challenging and potentially formidable task, particularly for users with constrained computing resources and capabilities. Thus, enabling public auditability for cloud knowledge storage security is of essential importance therefore that users will resort to an external audit party to check the integrity of outsourced data when required. To securely introduce a good third party auditor (TPA), the subsequent two fundamental requirements have to be met: 1) TPA ought to be ready to efficiently audit the cloud knowledge storage while not demanding the local copy of data, and introduce no additional on-line burden to the cloud user; 2) The third party auditing process should bring in no new vulnerabilities towards user data privacy. In this paper, we utilize the public key primarily based homomorphic authenticator and uniquely integrate it with random mask technique to attain a privacy-preserving public auditing system for cloud data storage security while keeping all above requirements in mind. To support efficient handling of multiple auditing tasks, we further explore the technique of bilinear aggregate signature to extend our main result into a multi-user setting, where TPA can perform multiple auditing tasks simultaneously. Extensive security and performance analysis shows the proposed schemes are provably secure and highly efficient.

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