| Title | A New NFT Model to Enhance Copyright Traceability of the Off-chain Data |
| Author | |
| DOI | |
| Publication Years | 2022
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| ISBN | 978-1-6654-6249-5
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| Source Title | |
| Pages | 157-162
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| Conference Date | 18-21 Aug. 2022
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| Conference Place | Lanzhou, China
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| Keywords | |
| SUSTech Authorship | First
|
| URL | [Source Record] |
| Data Source | IEEE
|
| PDF url | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9898612 |
| Citation statistics |
Cited Times [WOS]:0
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| Document Type | Conference paper |
| Identifier | http://kc.sustech.edu.cn/handle/2SGJ60CL/406472 |
| Department | Department of Computer Science and Engineering |
| Affiliation | Department of Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, China |
| First Author Affilication | Department of Computer Science and Engineering |
| First Author's First Affilication | Department of Computer Science and Engineering |
| Recommended Citation GB/T 7714 |
Yulong Chen,Ziwei Wang,Xiangyu Liu,et al. A New NFT Model to Enhance Copyright Traceability of the Off-chain Data[C],2022:157-162.
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| Files in This Item: | There are no files associated with this item. | |||||
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