Disjunct and Uninterrupted Audit for Aggregative Data In The Cloud

Abstract

The data is not only stored in the cloud but also exchanged through many users in cloud data services. Unfortunately, because of the presence of internal or external failures and mistakes, the credibility of cloud data is subject to skepticism. To effectively audit the credibility of user data without extracting all data from cloud server by the data owners and public verifiers, numerous mechanisms have been designed. Public monitoring on the privacy of data shared would eventually expose sensitive information through the existing processes. The computer applications and databases are transferred to the vast centralized data centers in cloud where data and resources management cannot be completely assured. This paper explores the issue of maintaining data storage privacy in Cloud. In general, the role of enabling the re-encryption of threshold proxy to verify the integrity of dynamic data in cloud on behalf of the cloud client  is considered. Although previous work on assuring credibility of remote data still lacks support for either public audit capability or dynamic data operations, this paper improves both.