Wang, Wenchao ORCID: https://orcid.org/0009-0004-5963-3459, Zhao, Bo ORCID: https://orcid.org/0000-0002-7600-2278, Yang, Haining ORCID: https://orcid.org/0000-0002-1958-3117, Qin, Jing ORCID: https://orcid.org/0000-0003-2380-0396 and Ma, Jixin ORCID: https://orcid.org/0000-0001-7458-7412 (2026) Ownership‐unaware and deduplicated integrity auditing for Cloud storage. Concurrency and Computation: Practice and Experience, 38 (15):e70871. ISSN 1532-0626 (Print), 1532-0634 (Online) (doi:10.1002/cpe.70871)

PDF (VoR) 54015 MA_Ownership‐Unaware_And_Deduplicated_Integrity_Auditing_(VoR)_2026.pdf - Accepted Version Restricted to Repository staff only until 4 February 2028. Download (5MB) | Request a copy

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.

Item Type:	Article
Uncontrolled Keywords:	Cloud storage, integrity auditing, data deduplication, ownership privacy
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	12 Aug 2026 11:02
URI:	https://gala.gre.ac.uk/id/eprint/54015

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