The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Data Security Sharing and Storage Based on a Consortium Blockchain in a Vehicular Ad-hoc Network
Open accessAbstract
A vehicular ad-hoc network (VANET) can improve the flow of traffic to facilitate intelligent transportation and to provide convenient information services, where the goal is to provide self-organizing data transmission capabilities for vehicles on the road to enable applications, such as assisted vehicle driving and safety warnings. VANETs are affected by issues such as identity validity and message reliability when vehicle nodes share data with other nodes. The method used to allow the vehicle nodes to upload sensor data to a trusted center for storage is susceptible to security risks, such as malicious tampering and data leakage. To address these security challenges, we propose a data security sharing and storage system based on the consortium blockchain (DSSCB). This digital signature technique based on the nature of bilinear pairing for elliptic curves is used to ensure the reliability and integrity when transmitting data to a node. The emerging consortium blockchain technology provides a decentralized, secure, and reliable database, which is maintained by the entire network node. In DSSCB, smart contracts are used to limit the triggering conditions for preselected nodes when transmitting and storing data and for allocating data coins to vehicles that participate in the contribution of data. The security analysis and performance evaluations demonstrated that our DSSCB solution is more secure and reliable in terms of data sharing and storage. Compared with the traditional blockchain system, the time required to confirm the data block was reduced by nearly six times and the transmission efficiency was improved by 83.33%.
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Cites
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Cited by
Blockchain Empowered Asynchronous Federated Learning for Secure Data Sharing in Internet of Vehicles
Lu, Y., Huang, X., Zhang, K., Maharjan, S., & Zhang, Y. (2020) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2020.2973651 · Cited by 733
Blockchain for 5G and beyond networks: A state of the art survey
Nguyen, D. C., Pathirana, P. N., Ding, M., & Seneviratne, A. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2020.102693 · Cited by 412
AlMarshoud, M., Sabir Kiraz, M., & H. Al-Bayatti, A. (2024) · ACM Computing Surveys · doi:10.1145/3656166 · Cited by 145
A comprehensive survey on authentication and privacy-preserving schemes in VANETs
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Two-Layered Blockchain Architecture for Federated Learning Over the Mobile Edge Network
Feng, L., Yang, Z., Guo, S., Qiu, X., Li, W., & Yu, P. (2022) · IEEE Network · doi:10.1109/mnet.011.2000339 · Cited by 64
Metadata
- Authors
- Zhang, X., & Chen, X.
- Venue
- IEEE Access
- Published
- 2019
- Volume
- 7
- Pages
- 58241-58254
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2907165388
- Cited by
- 285
- References
- 31
- FWCI
- 14.10
- Type
- journal article
- Language
- en
- Open access
- gold
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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.