Research on data asset circulation and trading scheme integrating blockchain and federated learning technologies
As a key production factor, data assets are gradually evolving into a crucial engine driving China’s stable growth and economic transformation. However, the circulation and trading of data assets face multiple challenges, including issues related to data authenticity and privacy before transactions,...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
China InfoCom Media Group
2025-01-01
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| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/thesisDetails?columnId=109258024&Fpath=home&index=0 |
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| Summary: | As a key production factor, data assets are gradually evolving into a crucial engine driving China’s stable growth and economic transformation. However, the circulation and trading of data assets face multiple challenges, including issues related to data authenticity and privacy before transactions, security and trustworthiness during transactions, and reliability and traceability after transactions. In response to these challenges, the study proposes an on-chain and off-chain data asset circulation and trading scheme that integrates blockchain and federated learning technologies. The study focuses on establishing a trustworthy data interaction framework, technologies for ownership confirmation and privacy protection of multi-source sensitive data, as well as full-lifecycle data trustworthiness assurance and abnormal transaction traceability mechanisms. This approach ensures high security, privacy, and traceability in the circulation and trading of data assets, aiming to build an efficient, secure, and trustworthy data asset trading system that promotes thesafe, orderly, and sustainable development of the data element market, thereby providing technical support for the high-quality development of China’s digital economy. |
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| ISSN: | 2096-0271 |