Efficient Data Integrity Auditing Supporting Provable Data Update for Secure Cloud Storage

Abstract

Cloud storage, an economically attractive service offered by cloud service providers (CSPs), has attracted a large number of tenants. However, because the ownership and management of outsourced data are separated, outsourced data faces a lot of security challenges, for instance, data security, data integrity, data update, and so on. In this article, we primarily investigate the problem of efficient data integrity auditing supporting provable data update in cloud computing environment. Subsequently, on the basis of the Merkel sum hash tree (MSHT), we introduce an efficient outsourced data integrity auditing scheme. Our designed scheme could synchronously meet the requirements of provable data update and data confidentiality without dependency on a third authority. At the same time, the numerical analysis shows that the computing complexity logarithmically grows with the number of outsourced subfiles. Finally, a prototype implementation is developed to simulate our designed scheme and measure its performance. The consequences of experiments present that compared with some previous solutions, our designed scheme has much more attractive practicality and higher efficiency in practical applications.