Blockchain-based privacy-preserving framework for multi-party data sharing in emerging IoT
With the arrival of the Internet of Things era, the information world can perceive every corner of the real world, providing a steady stream of data collection for its data analysis. However, multi-party data sharing and security analysis have become a challenge that must be solved as Internet of Th...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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ELS Publishing (ELSP)
2024-09-01
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| Series: | Blockchain |
| Subjects: | |
| Online Access: | https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/BC/2024/blockchain20240006.pdf |
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| _version_ | 1849233707065409536 |
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| author | Pingchuan Xu Junxi Liang Yuxuan Luo Xingyi Peng Zhe Sun |
| author_facet | Pingchuan Xu Junxi Liang Yuxuan Luo Xingyi Peng Zhe Sun |
| author_sort | Pingchuan Xu |
| collection | DOAJ |
| description | With the arrival of the Internet of Things era, the information world can perceive every corner of the real world, providing a steady stream of data collection for its data analysis. However, multi-party data sharing and security analysis have become a challenge that must be solved as Internet of Things technology evolves to the next level. Currently, most data sharing must introduce a trusted entity to perform cross-domain data fusion and protect privacy from a global perspective. Unless trusted entities can ensure that the privacy preserving mechanism is implemented properly, once the data is leaked, it will cause great harm to the public and to private interests. In this paper, we propose a new privacy preserving framework to tackle the problem of trusted entities in multi-party data sharing, which is based on a distributed consensus mechanism on blockchain. We analyze and abstract the privacy and availability requirements of all participants in multi-party data sharing and design a collaborative on-chain-off-chain privacy protection mechanism. To ensure that no one participant's private data is not accessed by each other, promote fair transaction of smart contracts, and achieve a balance among privacy preserving effects, transaction fairness, service quality, and execution efficiency from a global perspective. |
| format | Article |
| id | doaj-art-e672e6e3379a424d88e76854f4be1228 |
| institution | Kabale University |
| issn | 2959-1260 2958-8138 |
| language | English |
| publishDate | 2024-09-01 |
| publisher | ELS Publishing (ELSP) |
| record_format | Article |
| series | Blockchain |
| spelling | doaj-art-e672e6e3379a424d88e76854f4be12282025-08-20T04:03:26ZengELS Publishing (ELSP)Blockchain2959-12602958-81382024-09-012210.55092/blockchain202400061796463158790799360Blockchain-based privacy-preserving framework for multi-party data sharing in emerging IoTPingchuan Xu0Junxi Liang1Yuxuan Luo2Xingyi Peng3Zhe Sun4Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, ChinaCyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, ChinaCyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, ChinaCyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, ChinaCyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, ChinaWith the arrival of the Internet of Things era, the information world can perceive every corner of the real world, providing a steady stream of data collection for its data analysis. However, multi-party data sharing and security analysis have become a challenge that must be solved as Internet of Things technology evolves to the next level. Currently, most data sharing must introduce a trusted entity to perform cross-domain data fusion and protect privacy from a global perspective. Unless trusted entities can ensure that the privacy preserving mechanism is implemented properly, once the data is leaked, it will cause great harm to the public and to private interests. In this paper, we propose a new privacy preserving framework to tackle the problem of trusted entities in multi-party data sharing, which is based on a distributed consensus mechanism on blockchain. We analyze and abstract the privacy and availability requirements of all participants in multi-party data sharing and design a collaborative on-chain-off-chain privacy protection mechanism. To ensure that no one participant's private data is not accessed by each other, promote fair transaction of smart contracts, and achieve a balance among privacy preserving effects, transaction fairness, service quality, and execution efficiency from a global perspective.https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/BC/2024/blockchain20240006.pdfconsortium blockchainprivacy-preserving frameworkmulti-party data sharing |
| spellingShingle | Pingchuan Xu Junxi Liang Yuxuan Luo Xingyi Peng Zhe Sun Blockchain-based privacy-preserving framework for multi-party data sharing in emerging IoT Blockchain consortium blockchain privacy-preserving framework multi-party data sharing |
| title | Blockchain-based privacy-preserving framework for multi-party data sharing in emerging IoT |
| title_full | Blockchain-based privacy-preserving framework for multi-party data sharing in emerging IoT |
| title_fullStr | Blockchain-based privacy-preserving framework for multi-party data sharing in emerging IoT |
| title_full_unstemmed | Blockchain-based privacy-preserving framework for multi-party data sharing in emerging IoT |
| title_short | Blockchain-based privacy-preserving framework for multi-party data sharing in emerging IoT |
| title_sort | blockchain based privacy preserving framework for multi party data sharing in emerging iot |
| topic | consortium blockchain privacy-preserving framework multi-party data sharing |
| url | https://elsp-homepage.oss-cn-hongkong.aliyuncs.compaper/journal/open/BC/2024/blockchain20240006.pdf |
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