System and method for high-efficiency data integrity auditing supporting safety duplication eliminating in cloud environment

Abstract

The present invention belongs to the cloud data technology field, and discloses a system and method for high-efficiency data integrity auditing supporting safety duplication eliminating in a cloud environment. A data owner module is configured to store local data after safety duplication eliminating on cloud, submit a data management task to a cloud service provider module and submit a data auditing task to a third-party audit module; the cloud service provider module is configured to provide data outsourcing storage and integrity auditing service to take the user' place to perform data storage and management; the third-party audit module is configured to replace the data owner module to provide the data integrity auditing service and return back an auditing result; and a certificate authority module is configured to generate a data owner module anonymous public key certificate, track the real identities of malicious users and generate public parameters and label aggregation secret keys. The safety duplication eliminating and high-efficiency data integrity auditing are realized so as to reach the expected safety target and improve the efficiency of the integrity auditing.

Description

technical field [0001] The invention belongs to the technical field of cloud data, and in particular relates to an efficient data integrity audit system and method supporting safe deduplication in a cloud environment. Background technique [0002] Cloud computing is a pay-as-you-go service model. Its advantages mainly include shared software / hardware resources, huge computing and storage resources, resource pools and on-demand services that are not limited by location, providing cloud users with many conveniences and flexibility. services. Cloud storage service is one of the most used cloud services by cloud users. Although the use of cloud storage services is becoming more and more widespread, there are still problems to be solved, especially the correctness and storage efficiency of stored data, also known as integrity audit and data deduplication. On the one hand, cloud storage servers help data owners reduce the heavy burden of storage management and data maintenance, ...

AI Technical Summary

Problems solved by technology

However, it is unreasonable to assume that a trusted MapReduce cloud generation processes data to generate authentication tags and perform integrity audits

Later, there was a plan to propose a new integrity audit method that supports data deduplication, but it still cannot efficiently support data integrity audits and batch audits for block-level deduplication. The authentication label, the auditor needs to audit the challenged data blocks according to different users

[0003] To sum up, the current integrity audit schemes that support data deduplication cannot support efficient data integrity audits and batch audits after block-level deduplication, because after a file is deduplicated at the block level, the authentication label of the file may be Generated by multiple different users, if the authentication tags of different users cannot be aggregated during the integrity audit, the integrity evidence returned by the cloud service provider module will contain the authentication tags of multiple different users, and the auditor needs to verify it separately for different users The correctness of the evidence, the audit overhead is relatively large

At the same time, batch audits in the prior art are all related to the amount of audit tasks, and the efficiency of batch audits is also low

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