PROJECT TITLE :

NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users - 2017

ABSTRACT:

Today, cloud storage becomes one in all the vital services, as a result of users will simply modify and share information with others in cloud. But, the integrity of shared cloud data is vulnerable to inevitable hardware faults, software failures or human errors. To ensure the integrity of the shared information, some schemes have been designed to permit public verifiers (i.e., third party auditors) to efficiently audit knowledge integrity while not retrieving the complete users’ data from cloud. Unfortunately, public auditing on the integrity of shared information might reveal information homeowners’ sensitive info to the third party auditor. In this paper, we have a tendency to propose a new privacy-aware public auditing mechanism for shared cloud knowledge by constructing a homomorphic verifiable group signature. Unlike the existing solutions, our theme needs a minimum of t cluster managers to recover a trace key cooperatively, that eliminates the abuse of single-authority power and provides nonframeability. Moreover, our scheme ensures that cluster users can trace knowledge changes through designated binary tree; and can recover the newest correct data block when the present information block is broken. Likewise, the formal security analysis and experimental results indicate that our theme is provably secure and efficient.