PROJECT TITLE:

Public Integrity Auditing for Shared Dynamic Cloud Data with Group User Revocation - 2015

ABSTRACT:

The advent of the cloud computing makes storage outsourcing become a rising trend, which promotes the secure remote knowledge auditing a hot topic that appeared in the analysis literature. Recently some analysis take into account the problemof secure and efficient public data integrity auditing for shared dynamic knowledge. But, these schemes are still not secure against the collusion of cloud storage server and revoked group users throughout user revocation in practical cloud storage system. During this paper, we determine the collusion attack in the exiting theme and give an efficient public integrity auditing theme with secure cluster user revocation based on vector commitment and verifier-local revocation cluster signature. We design a concrete theme primarily based on the our scheme definition. Our theme supports the general public checking and efficient user revocation and additionally some nice properties, like confidently, efficiency, countability and traceability of secure cluster user revocation. Finally, the protection and experimental analysis show that, compared with its relevant schemes our theme is also secure and efficient.