Dynamic auditing and updating services in cloud storage

Abstract

Cloud is an innovative service platform. In this computing standard it delivers all the resources such as both hardware and software as a service over the Internet. Since the information are outsourced on the server of cloud and maintained at an anonymous place, there is the possibility of alteration or modification on the data because of any of the failures or because of the fraudulence of the mischievous server. To achieve the data integrity, there is a need of employing some of the data verification and auditing techniques. The proposed work is to perform the dynamic auditing for integrity verification and data dynamics in cloud storage with lower computation and communication cost, using techniques such as tagging, hash tag table and arbitrary sampling. It also supports timely anomaly detection and updates to outsourced data.