The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Oruta: privacy-preserving public auditing for shared data in the cloud
Abstract
With cloud data services, it is commonplace for data to be not only stored in the cloud, but also shared across multiple users. Unfortunately, the integrity of cloud data is subject to skepticism due to the existence of hardware/software failures and human errors. Several mechanisms have been designed to allow both data owners and public verifiers to efficiently audit cloud data integrity without retrieving the entire data from the cloud server. However, public auditing on the integrity of shared data with these existing mechanisms will inevitably reveal confidential information—identity privacy—to public verifiers. In this paper, we propose a novel privacy-preserving mechanism that supports public auditing on shared data stored in the cloud. In particular, we exploit ring signatures to compute verification metadata needed to audit the correctness of shared data. With our mechanism, the identity of the signer on each block in shared data is kept private from public verifiers, who are able to efficiently verify shared data integrity without retrieving the entire file. In addition, our mechanism is able to perform multiple auditing tasks simultaneously instead of verifying them one by one. Our experimental results demonstrate the effectiveness and efficiency of our mechanism when auditing shared data integrity.
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Cites
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A method for obtaining digital signatures and public-key cryptosystems
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Attribute-based encryption for fine-grained access control of encrypted data
Goyal, V., Pandey, O., Sahai, A., & Waters, B. (2006) · Proceedings of the 13th ACM conference on Computer and communications security · doi:10.1145/1180405.1180418 · Cited by 5,009
Short Signatures from the Weil Pairing
Boneh, D., Lynn, B., & Shacham, H. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-45682-1_30 · Cited by 2,993
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Cited by
Cloud security issues and challenges: A survey
Singh, A., & Chatterjee, K. (2017) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2016.11.027 · Cited by 494
A secure data self-destructing scheme in cloud computing
Xiong, J., Liu, X., Yao, Z., Ma, J., Li, Q., Geng, K., & Chen, P. S. (2014) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2014.2372758 · Cited by 80
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, B., Li, B., & Li, H.
- Venue
- IEEE Transactions on Cloud Computing
- Published
- 2014-01
- Volume
- 2
- Issue
- 1
- Pages
- 43-56
- ISSN
- 2168-7161 (ISSN-L)
- OpenAlex
- W2041547341
- Cited by
- 458
- References
- 30
- FWCI
- 160.87
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
