Public audit on dynamic data preserving user identity and data freshness

In Cloud, data can be stored and retrieved by data owner and also by several users. The consistency of data which is stored is not ensured properly, because of hardware and software failure and also due to error made by humans. Several mechanisms are available that allows the public verifiers to audit data stored in the cloud with no need of retrieving the whole data from cloud server. Usually public auditing might reveal private and confidential information to public verifiers. In the Existing system public auditing is done and it maintains private identity of users while supporting batch audit, but does not prove data freshness and support traceability. In this proposed system, batch auditing can be done that support dynamic operations by computing signatures that preserves structures and using an index hash table. It also ensures data freshness during public auditing. The future enhancement can be done on ability of group manager revealing the identity of the user in some special situations.