A SCALABLE APPROACH TOWARDS MANAGEMENT OF CONSISTENT DATA IN CLOUD SETTING

A number of modern works spotlighted on preservation of identity privacy from public verifiers during auditing of shared data integrity. Towards ensuring of shared data integrity can be confirmed publicly, users within group need to work out signatures on the entire blocks in shared data. In our work we put forward Panda, which is a new public auditing method for the integrity of shared information with well-organized user revocation within cloud. This method is helpful and scalable, which indicates that it is not only competent to maintain a huge number of users to allocate data and but also proficient to handle numerous auditing tasks simultaneously with batch auditing. It is capable to sustain batch auditing by means of verifying numerous auditing tasks at the same time and is resourceful and secure for the duration of user revocation. By scheming of the proxy re-signature system with fine properties, which traditional proxy re-signatures do not contain, our method is constantly able to make sure reliability of shared data devoid of retrieving the total data from cloud