An intelligent and privacy-enhanced data sharing strategy for blockchain-empowered Internet of Things
With the development of the Internet of Things (IoT), the massive data sharing between IoT devices improves the Quality of Service (QoS) and user experience in various IoT applications. However, data sharing may cause serious privacy leakages to data providers. To address this problem, in this study...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2022-10-01
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| Series: | Digital Communications and Networks |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864821001048 |
| _version_ | 1798018846372659200 |
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| author | Qinyang Miao Hui Lin Jia Hu Xiaoding Wang |
| author_facet | Qinyang Miao Hui Lin Jia Hu Xiaoding Wang |
| author_sort | Qinyang Miao |
| collection | DOAJ |
| description | With the development of the Internet of Things (IoT), the massive data sharing between IoT devices improves the Quality of Service (QoS) and user experience in various IoT applications. However, data sharing may cause serious privacy leakages to data providers. To address this problem, in this study, data sharing is realized through model sharing, based on which a secure data sharing mechanism, called BP2P-FL, is proposed using peer-to-peer federated learning with the privacy protection of data providers. In addition, by introducing the blockchain to the data sharing, every training process is recorded to ensure that data providers offer high-quality data. For further privacy protection, the differential privacy technology is used to disturb the global data sharing model. The experimental results show that BP2P-FL has high accuracy and feasibility in the data sharing of various IoT applications. |
| first_indexed | 2024-04-11T16:30:59Z |
| format | Article |
| id | doaj.art-018ff4ac291446d2bbe3065f2c2b7788 |
| institution | Directory Open Access Journal |
| issn | 2352-8648 |
| language | English |
| last_indexed | 2024-04-11T16:30:59Z |
| publishDate | 2022-10-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Digital Communications and Networks |
| spelling | doaj.art-018ff4ac291446d2bbe3065f2c2b77882022-12-22T04:14:00ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482022-10-0185636643An intelligent and privacy-enhanced data sharing strategy for blockchain-empowered Internet of ThingsQinyang Miao0Hui Lin1Jia Hu2Xiaoding Wang3College of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350117, China; Engineering Research Center of Cyber Security and Education Informatization, Fujian Province University, Fuzhou, 350117, ChinaCollege of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350117, China; Engineering Research Center of Cyber Security and Education Informatization, Fujian Province University, Fuzhou, 350117, China; Corresponding author.University of Exeter, EX4 4RN Exeter, UKCollege of Computer and Cyber Security, Fujian Normal University, Fuzhou, 350117, China; Engineering Research Center of Cyber Security and Education Informatization, Fujian Province University, Fuzhou, 350117, China; Corresponding author.With the development of the Internet of Things (IoT), the massive data sharing between IoT devices improves the Quality of Service (QoS) and user experience in various IoT applications. However, data sharing may cause serious privacy leakages to data providers. To address this problem, in this study, data sharing is realized through model sharing, based on which a secure data sharing mechanism, called BP2P-FL, is proposed using peer-to-peer federated learning with the privacy protection of data providers. In addition, by introducing the blockchain to the data sharing, every training process is recorded to ensure that data providers offer high-quality data. For further privacy protection, the differential privacy technology is used to disturb the global data sharing model. The experimental results show that BP2P-FL has high accuracy and feasibility in the data sharing of various IoT applications.http://www.sciencedirect.com/science/article/pii/S2352864821001048Data sharingFederated learningBlockchainPrivacy protectionIoT |
| spellingShingle | Qinyang Miao Hui Lin Jia Hu Xiaoding Wang An intelligent and privacy-enhanced data sharing strategy for blockchain-empowered Internet of Things Digital Communications and Networks Data sharing Federated learning Blockchain Privacy protection IoT |
| title | An intelligent and privacy-enhanced data sharing strategy for blockchain-empowered Internet of Things |
| title_full | An intelligent and privacy-enhanced data sharing strategy for blockchain-empowered Internet of Things |
| title_fullStr | An intelligent and privacy-enhanced data sharing strategy for blockchain-empowered Internet of Things |
| title_full_unstemmed | An intelligent and privacy-enhanced data sharing strategy for blockchain-empowered Internet of Things |
| title_short | An intelligent and privacy-enhanced data sharing strategy for blockchain-empowered Internet of Things |
| title_sort | intelligent and privacy enhanced data sharing strategy for blockchain empowered internet of things |
| topic | Data sharing Federated learning Blockchain Privacy protection IoT |
| url | http://www.sciencedirect.com/science/article/pii/S2352864821001048 |
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