Dynamic Auditing Protocol for Efficient and Secure Data Storage in Cloud Computing

Abstract

Cloud computing, where the data has been stored on cloud servers and retrieved by users (data consumers) the data from cloud servers. However, there are some security challenges which are in need of independent auditing services to verify the data integrity and safety in the cloud. Until now a numerous methods has been developed for remote integrity checking whichever only serve for static archive data and cannot be implemented to the auditing service if the data in the cloud is being dynamically updated. Therefore, it is expected to design an efficient and secure dynamic auditing protocol to convince the data owners for t he security and integrity of their data. In this paper, we intent to construct an auditing framework for cloud storage systems for efficient privacy-preserving auditing service. Then, our auditing protocol is extended to support the data dynamic operations for secure auditing in the random oracle model. In addition, our auditing protocol is improved to support batch auditing for both multiple owners and multiple clouds without any trusted organizer. Our proposed auditing protocols will be proved for their secure and efficient computation with reduced cost for the auditing.