Title | A New NFT Model to Enhance Copyright Traceability of the Off-chain Data |
Author | |
DOI | |
Publication Years | 2022
|
ISBN | 978-1-6654-6249-5
|
Source Title | |
Pages | 157-162
|
Conference Date | 18-21 Aug. 2022
|
Conference Place | Lanzhou, China
|
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
|
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.
|
Files in This Item: | There are no files associated with this item. |
|
Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.
Edit Comment