Auditing Protocol for Secured Data Storage in Cloud

On cloud servers the data are hosted by the data owners and the data are accessed by the users from the cloud servers in cloud computing. As the data are outsourced, there are new security challenges been introduced by the new data hosting service that requires an independent auditing service in cloud to check the data integrity. There exist few remote integrity methods used for checking which can only serve for static archive data and hence cannot be applied to the auditing service as the data in the cloud can be updated dynamically. Thus, a new dynamic protocol which is secure and efficient is designed in order to make data owners believe that in cloud, the data are stored correctly. In this paper, first design a framework which would audit the data stored on the cloud servers and then a protocol which would be efficient in preserving the private data of the data owners.. The auditing protocol is extended to support the dynamic data operations, which is provable secure and efficient in the random oracle model. Also, the auditing protocol is extended to support batch auditing for multiple owners, without using any trusted organizer. The simulation and analysis results show that the proposed auditing protocols are efficient and secure, especially it reduces the computation cost of the auditor.