The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
ProvChain: A Blockchain-Based Data Provenance Architecture in Cloud Environment with Enhanced Privacy and Availability
Abstract
Cloud data provenance is metadata that records the history of the creation and operations performed on a cloud data object. Secure data provenance is crucial for data accountability, forensics and privacy. In this paper, we propose a decentralized and trusted cloud data provenance architecture using blockchain technology. Blockchain-based data provenance can provide tamper-proof records, enable the transparency of data accountability in the cloud, and help to enhance the privacy and availability of the provenance data. We make use of the cloud storage scenario and choose the cloud file as a data unit to detect user operations for collecting provenance data. We design and implement ProvChain, an architecture to collect and verify cloud data provenance, by embedding the provenance data into blockchain transactions. ProvChain operates mainly in three phases: (1) provenance data collection, (2) provenance data storage, and (3) provenance data validation. Results from performance evaluation demonstrate that ProvChain provides security features including tamper-proof provenance, user privacy and reliability with low overhead for the cloud storage applications.
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Cites
Protocols for Public Key Cryptosystems
Merkle, R. C. (1980) · 1980 IEEE Symposium on Security and Privacy · doi:10.1109/sp.1980.10006 · Cited by 1,418
Cited by
Blockchain for internet of things: a survey
Dai, H.-N., Zheng, Z., & Zhang, Y. (2019) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2920987 · Cited by 1,246
A survey of blockchain from the perspectives of applications, challenges, and opportunities
Monrat, A. A., Schelen, O., & Andersson, K. (2019) · IEEE Access · doi:10.1109/access.2019.2936094 · Cited by 1,077
Blockchain-based traceability in Agri-Food supply chain management: A practical implementation
Caro, M. P., Ali, M. S., Vecchio, M., & Giaffreda, R. (2018) · 2018 IoT Vertical and Topical Summit on Agriculture - Tuscany (IOT Tuscany) · doi:10.1109/iot-tuscany.2018.8373021 · Cited by 861
Integrating blockchain for data sharing and collaboration in mobile healthcare applications
Liang, X., Zhao, J., Shetty, S., Liu, J., & Li, D. (2017) · 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrc.2017.8292361 · Cited by 711
Self-citationA Blockchain-Based Smart Contract System for Healthcare Management
Khatoon, A. (2020) · Electronics · doi:10.3390/electronics9010094 · Cited by 508
Metadata
- Authors
- Liang, X., Shetty, S., Tosh, D., Kamhoua, C., Kwiat, K., & Njilla, L.
- Venue
- 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID)
- Publisher
- IEEE
- Published
- 2017-05
- Pages
- 468-477
- OpenAlex
- W2730380569
- Cited by
- 725
- References
- 1
- FWCI
- 73.49
- Type
- conference paper
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
