The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Privacy-Preserving Public Auditing for Secure Cloud Storage
Abstract
Using cloud storage, users can remotely store their data and enjoy the on-demand high-quality applications and services from a shared pool of configurable computing resources, without the burden of local data storage and maintenance. However, the fact that users no longer have physical possession of the outsourced data makes the data integrity protection in cloud computing a formidable task, especially for users with constrained computing resources. Moreover, users should be able to just use the cloud storage as if it is local, without worrying about the need to verify its integrity. Thus, enabling public auditability for cloud storage is of critical importance so that users can resort to a third-party auditor (TPA) to check the integrity of outsourced data and be worry free. To securely introduce an effective TPA, the auditing process should bring in no new vulnerabilities toward user data privacy, and introduce no additional online burden to user. In this paper, we propose a secure cloud storage system supporting privacy-preserving public auditing. We further extend our result to enable the TPA to perform audits for multiple users simultaneously and efficiently. Extensive security and performance analysis show the proposed schemes are provably secure and highly efficient. Our preliminary experiment conducted on Amazon EC2 instance further demonstrates the fast performance of the design.
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Cites
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Enabling Public Auditability and Data Dynamics for Storage Security in Cloud Computing
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Self-citationShort Signatures from the Weil Pairing
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Privacy-Preserving Public Auditing for Data Storage Security in Cloud Computing
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Self-citationCompact Proofs of Retrievability
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Cited by
Wu, X., Zhu, X., Wu, G.-Q., & Ding, W. (2014) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2013.109 · Cited by 2,410
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions
Ni, J., Zhang, K., Lin, X., & Shen, X. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2762345 · Cited by 659
Oruta: privacy-preserving public auditing for shared data in the cloud
Wang, B., Li, B., & Li, H. (2014) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2014.2299807 · Cited by 458
Decentralized big data auditing for smart city environments leveraging blockchain technology
Yu, H., Yang, Z., & Sinnott, R. O. (2019) · IEEE Access · doi:10.1109/access.2018.2888940 · Cited by 130
Zhang, H., Yu, J., Tian, C., Zhao, P., Xu, G., & Lin, J. (2018) · IEEE Access · doi:10.1109/access.2018.2857205 · Cited by 45
Metadata
- Authors
- Wang, C., Chow, S. S. M., Wang, Q., Ren, K., & Lou, W.
- Venue
- IEEE Transactions on Computers
- Published
- 2013-02
- Volume
- 62
- Issue
- 2
- Pages
- 362-375
- ISSN
- 0018-9340 (ISSN-L)
- OpenAlex
- W1994788755
- Cited by
- 1,374
- References
- 19
- FWCI
- 147.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- Wang, C., Chow, S. S. M., Wang, Q., Ren, K., & Lou, W. (2013). Privacy-Preserving Public Auditing for Secure Cloud Storage. IEEE Transactions on Computers. https://doi.org/10.1109/tc.2011.245
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