Proof of Retrievability for Image Data in Industrial Cloud Platform
Authors: 
Guangchen Yu, Juan Ma, Ji WangAuthors Info & Claims
Pages 519 - 523
Abstract
With the increasing popularity of cloud storage, a large number of consumers rent cloud storage services to store their own data. However, with the loss of direct control over data, the integrity and availability of outsourced data become a major concern of users. In order to ensure the reliability and integrity of data in cloud storage server, some scholars have proposed various data integrity auditing schemes.
However, most data integrity auditing schemes only focus on single data rather than image data, and only a few articles propose the proof of data retrievability. In order to overcome this difficulty, this paper proposes a scheme of the proof of data retrievability of image data based on industrial cloud. In this scheme, reversible watermarking algorithm is used to verify the integrity of image data, and information dispersion algorithm is used to realize the data retrievability. A large number of security and performance analysis shows that the proposed scheme is efficient and provably secure.
References
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Ateniese, G., Di Pietro, R., Mancini, L.V., Tsudik, G., 2008. Scalable and efficient provable data possession. In: Proceedings of the 4th International Conference on Security and Privacy in Communication Networks. ACM, Istanbul, Turkey, p. 9.
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Advances in Crypology ASIACRYP. Springer, Gold Coast, Australia, pp. 514--532. Brwers, K, D., JUELS, A., Opera, A., 2009. Hail:a high-availability and integrity layer for cloud storage. In: Proceedings of the 16th ACM Computer and Communications Security. ACM, Chicago, USA, pp. 187--198.
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Curtmola, R., Khan, O., Burns, R., Ateniese, G., 2008. MR-PDP:multiple-replica provable data possession. In: Distributed Computing Systems-ICDCS 2008. IEEE, Beijing, China, pp. 411--420.
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Anmin Fu, Yuhan Li, Shui Yu, Gonggxuan Zhang.DIPOR:An IDA-based dynamic proof of retrievability scheme for cloud storage systems.
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Index Terms
- Proof of Retrievability for Image Data in Industrial Cloud Platform
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Information
Published In
December 2020
597 pages
ISBN:9781450387828
DOI:10.1145/3444370
Copyright © 2020 ACM.
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In-Cooperation
- Sun Yat-Sen University
- CARLETON UNIVERSITY: INSTITUTE FOR INTERDISCIPLINARY STUDIES
- Beijing University of Posts and Telecommunications
- Guangdong University of Technology: Guangdong University of Technology
- Deakin University
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 04 January 2021
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- Research-article
- Research
- Refereed limited
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CIAT 2020
CIAT 2020: 2020 International Conference on Cyberspace Innovation of Advanced Technologies
December 4 - 6, 2020
Guangzhou, China
Acceptance Rates
CIAT 2020 Paper Acceptance Rate 94 of 232 submissions, 41%;
Overall Acceptance Rate 94 of 232 submissions, 41%
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