Data Integrity Auditing for Secure Sharing in Cloud with Group User Revocation

B. Priyanka Yadav, R. Bharath Kumar, P. Srinivas Rao

Abstract


With the immoderate use of web cloud has got much of the awareness. With the aid of cloud data will also be conveniently stored on cloud and can also be accessed on demand. There are issues related to the efficient public data integrity auditing for unified dynamic data. There are various factors for the dearth of integrity like error may arise due to human errors, hardware disasters , malicious clients and many extra. As lot of data is shared on the cloud it's tricky to manipulate this data as good as hold its privacy. Now days we face lot of protection quandary in sharing dynamic data among the group users. . In this paper, we found out that the collusion attack within the exiting scheme. An effective public integrity auditing scheme with relaxed workforce user revocation based on vector commitment plus verifier-local revocation group signature. We designed a concrete scheme with a new constitution known as Decrypt key, which presents effectivity and reliability assurance for convergent key administration on mutually user along with cloud storage sides. The design is to use de-duplication to the convergent keys to affect secret sharing approaches.


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