PROJECT TITLE :
Dynamic Outsourced Auditing Services for Cloud Storage Based on Batch-Leaves- Authenticated Merkle Hash Tree - 2017
Cloud computing encourages users to outsource their data to cloud storage. Data outsourcing means that users lose physical autonomy on their own data, which makes remote information integrity verification become a essential challenge for potential cloud users. To free user from the burden incurred by frequent integrity verifications, Third Party Auditor (TPA) is introduced to perform verifications on behalf of user for information integrity assurance. However, existing public auditing schemes depend on the assumption that TPA is trusted, so these schemes can not be directly extended to support the outsourced auditing model, where TPA may be dishonest and any two of the 3 concerned entities (i.e. user, TPA, and cloud service provider) would possibly be in collusion. In this paper, we have a tendency to propose a dynamic outsourced auditing scheme that cannot solely defend against any dishonest entity and collision, however also support verifiable dynamic updates to outsourced data. We tend to gift a brand new approach, based on batch-leaves-authenticated Merkle Hash Tree (MHT), to batch-verify multiple leaf nodes and their own indexes all together, that is additional acceptable for the dynamic outsourced auditing system than ancient MHT-primarily based dynamism approaches that may solely verify many leaf nodes piecemeal. Experimental results show that our resolution minimizes the costs of initialization for both user and TPA (compared to existing static outsourced auditing scheme), and incurs a lower worth of dynamism at user aspect.
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