Dynamic Update and Dispute Arbitration for Data Auditing in Cloud

Abstract

Cloud computing is a computing-infrastructure and software model for enabling ubiquitous access to shared pools of configurable resources (such as computer networks, servers, storage, applications and services), which can be rapidly provisioned with minimal management effort, often over the Internet. Cloud computing allows users and enterprises with various computing capabilities to store and process data either in a privately-owned cloud, or on a third-party server located in a data center - thus making data-accessing mechanisms more efficient and reliable. Cloud computing relies on sharing of resources to achieve coherence and economy of scale, similar to a utility. Storage outsourcing turned into a rising trend with the advent of the cloud computing, advancing the secure remote data auditing to be the future research area. Other than this research considers the problem of data dynamics support, public verifiability and dispute arbitration simultaneously. The data dynamics problem in auditing is solved by presenting an index switcher to preserve a mapping between block indices and tag indices and eradicate the passive outcome of block indices in the tag computation without incurring much overhead. We provide fairness guarantee and dispute arbitration in our scheme, which ensures that both the data owner and the cloud cannot misbehave in the auditing process or else it is easy for a third-party arbitrator to find out the cheating party. The framework is reaching out by executing the data dynamically and reasonable discretion on gatherings in the future.