The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Blockchain-Enabled Data Collection and Sharing for Industrial IoT With Deep Reinforcement Learning
Abstract
With the rapid development of smart mobile terminals (MTs), various industrial Internet of things (IIoT) applications can fully leverage them to collect and share data for providing certain services. However, two key challenges still remain. One is how to achieve high-quality data collection with limited MT energy resource and sensing range. Another is how to ensure security when sharing and exchanging data among MTs, to prevent possible device failure, network communication failure, malicious users or attackers, etc. To this end, we propose a blockchain-enabled efficient data collection and secure sharing scheme combining Ethereum blockchain and deep reinforcement learning (DRL) to create a reliable and safe environment. In this scheme, DRL is used to achieve the maximum amount of collected data, and the blockchain technology is used to ensure security and reliability of data sharing. Extensive simulation results demonstrate that the proposed scheme can provide higher security level and stronger resistance to attack than a traditional database based data sharing scheme for different levels/types of attacks.
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Cited by
Blockchain and Federated Learning for Privacy-Preserved Data Sharing in Industrial IoT
Lu, Y., Huang, X., Dai, Y., Maharjan, S., & Zhang, Y. (2020) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2019.2942190 · Cited by 1,245
A Comprehensive Survey on Attacks, Security Issues and Blockchain Solutions for IoT and IIoT
Sengupta, J., Ruj, S., & Das Bit, S. (2020) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2019.102481 · Cited by 844
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
Tange, K., De Donno, M., Fafoutis, X., & Dragoni, N. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3011208 · Cited by 410
“Other blockchain-based proposals in this domain are [153] and [154].”
BackgroundDeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids
Ferrag, M. A., & Maglaras, L. (2020) · IEEE Transactions on Engineering Management · doi:10.1109/tem.2019.2922936 · Cited by 358
Metadata
- Authors
- Liu, C. H., Lin, Q., & Wen, S.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2019-06
- Volume
- 15
- Issue
- 6
- Pages
- 3516-3526
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2907843228
- Cited by
- 341
- References
- 39
- FWCI
- 64.28
- Type
- journal article
- Language
- en
- Open access
- closed
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- Liu, C. H., Lin, Q., & Wen, S. (2019). Blockchain-Enabled Data Collection and Sharing for Industrial IoT With Deep Reinforcement Learning. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2018.2890203
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