SaaS: Privacy Data Auditor in Private Cloud Computing

Abstract: Cloud Computing has scalable and effective architecture for service provide such as IaaS, PaaS, SaaS. For data storage in cloud it not depends on local hardware and software environments. The Management of hardware and software are depends on remote server and enjoying the service on demand. Service security risks are demanded correctness of the data in cloud. To overcome the problem the privacy data auditor, we propose in this paper a flexible distributed storage integrity third party data auditing mechanism, utilizing the randomized homomorphism token generation and distributed encrypted data with error recovery. The proposed design allows users to audit the cloud storage with data center with low cost of computation and lightweight communication. The Proposed model allows the user to inset, delete and update its data to data center.

Keywords: Cloud Service, correctness of data, error recovery, Token generation, Data Auditor, Cloud Computing.