Journal article 51 views
SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction
Hengyan Zhang,
Weizhe Zhang 
,
Yuming Feng ,
Yang Liu
,
Yuming Feng ,
Yang Liu
Journal of Information Security and Applications, Volume: 75, Start page: 103484
Swansea University Author:
Yang Liu
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1016/j.jisa.2023.103484
Abstract
SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction
| Published in: | Journal of Information Security and Applications |
|---|---|
| ISSN: | 2214-2126 |
| Published: |
Elsevier BV
2023
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| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa67209 |
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| Keywords: |
Blockchain; Smart contract; Vulnerability detection; Deep learning; Deep semantic extraction |
|---|---|
| College: |
Faculty of Science and Engineering |
| Funders: |
This work was supported in part by the Shenzhen Colleges and Universities Stable Support Program No.
GXWD20220817124251002, the Fundamental Research Funds for the Central Universities under Grant HIT.OCEF.2021007, the Joint Funds of the National Natural Science Foundation of China (Grant No. U22A2036), the Shenzhen Science and Technology Research and Development Fundation No.
JCYJ20190806143418198, and the Guangdong Provincial Key Laboratory of Novel Security Intelligence Technologies (2022B1212010005). |
| Start Page: |
103484 |