An Efficient Secure Auditing Framework for Big Data Storage in Cloud Computing Environment

Abstract

Cloud storage enables to use and manage remote data efficiently but increase the risk of tampering data. This proposed paper a public auditing-based framework to develop a novel system for secure data auditing in cloud storage. We build a dynamic index table with no requirement to transfer elements in the update operation for inserting or deleting. If data is not incorporate in the cloud, the auditor from a third party can identify the corrupted block. The authorization is implemented between cloud storage and third-party to prevent dos attack. The proposed model is flexible, efficient, and secure as per detailed analysis and simulation results.