Aug 2026· Concurrency and Computation· Vol 38· 0 citations· 41 references
TL;DR
This work proposes an ownership‐unaware integrity auditing scheme with data deduplication that hides client file ownership privacy from auditors and external adversaries, and can be reduced to the CDH assumption.
Abstract
Integrity auditing with data deduplication enables integrity verification of outsourced data on an untrusted cloud server while deduplicating identical data so that only a copy is stored for multiple clients. However, deriving the authenticator key from the file breaks the binding between the file and its owner. Conversely, generating authenticators under clients' secret keys leads to vulnerability to rogue public‐key attacks, or auditing costs that increase with the number of clients sharing the same file. In addition, existing schemes may reveal file ownership relationships to auditors or external adversaries, leading to privacy leakage. To address these problems, we propose an ownership‐unaware integrity auditing scheme with data deduplication. In our scheme, the cloud server stores only an aggregate authenticator and an aggregate public key for the same data. Meanwhile, both the proof generation and verification overheads remain independent of the number of clients. Moreover, our scheme hides client file ownership privacy from auditors and external adversaries. The security of our scheme can be reduced to the CDH assumption. In addition, performance evaluation indicates that the auditing cost remains constant regardless of the number of clients sharing the same file, making the scheme suitable for cloud storage systems.
Integrating data deduplication with integrity auditing offers a practical approach to reducing cloud storage cost while safeguarding the integrity of outsourced data. Most of the existing schemes attempt to further reduce storage cost by performing authenticator deduplication on top of data deduplication. However, thes...
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