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Secure Deduplication and Cloud Storage Auditing With Efficient Dynamic Ownership Management and Data Dynamics

Xueqi Peng, Wenting Shen, Yang Yang, Xi Zhang

2025IEEE Transactions on Network and Service Management8 citationsDOI

Abstract

To verify the integrity of data stored in the cloud and improve storage efficiency, numerous cloud storage auditing schemes with deduplication have been proposed. In cloud storage, when users perform data dynamic operations, they should lose ownership of original data. However, existing schemes require re-encrypting the entire ciphertext when ownership changes and recalculating the authenticators for the blocks following the updated blocks when insertion or deletion operations are performed. These processes lead to high computation overhead. To address the above issues, we construct a secure deduplication and cloud storage auditing scheme with efficient dynamic ownership management and data dynamics. We adopt CAONT encryption method, where only a portion of the updated block is required to be re-encrypted during the ownership management phase, significantly reducing computation overhead. We also implement index switch sets to maintain the mapping between block indexes and cloud storage indexes of ciphertext blocks. By embedding cloud storage indexes within the authenticators, our scheme avoids the need to recalculate authenticators when users perform dynamic operations. Additionally, our scheme supports block-level deduplication, further improving efficiency. Through comprehensive security analysis and experiments, we validate the security and effectiveness of the proposed scheme.

Topics & Concepts

Data deduplicationComputer scienceCloud computingCloud storageDatabaseDynamic dataData managementComputer data storageStorage managementAuditComputer securityDistributed computingComputer networkOperating systemBusinessAccountingCloud Data Security SolutionsBlockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data
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