Zhongming Yao, Zhiqiong Wang, Liang Wen, Kun Hao, Junming Xu. Efficient Blockchain Data Trusty Provenance Based on the W3C PROV Model. In Xiaochun Yang 0001, Heru Suhartanto, Guoren Wang, Bin Wang 0015, Jing Jiang, Bing Li, Huaijie Zhu, Ningning Cui, editors, Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part V. Volume 14180 of Lecture Notes in Computer Science, pages 61-76, Springer, 2023. [doi]
@inproceedings{YaoWWHX23,
title = {Efficient Blockchain Data Trusty Provenance Based on the W3C PROV Model},
author = {Zhongming Yao and Zhiqiong Wang and Liang Wen and Kun Hao and Junming Xu},
year = {2023},
doi = {10.1007/978-3-031-46677-9_5},
url = {https://doi.org/10.1007/978-3-031-46677-9_5},
researchr = {https://researchr.org/publication/YaoWWHX23},
cites = {0},
citedby = {0},
pages = {61-76},
booktitle = {Advanced Data Mining and Applications - 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part V},
editor = {Xiaochun Yang 0001 and Heru Suhartanto and Guoren Wang and Bin Wang 0015 and Jing Jiang and Bing Li and Huaijie Zhu and Ningning Cui},
volume = {14180},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-46677-9},
}