Cargando…
Smart Contract Vulnerability Detection Model Based on Multi-Task Learning
The key issue in the field of smart contract security is efficient and rapid vulnerability detection in smart contracts. Most of the existing detection methods can only detect the presence of vulnerabilities in the contract and can hardly identify their type. Furthermore, they have poor scalability....
Autores principales: | Huang, Jing, Zhou, Kuo, Xiong, Ao, Li, Dongmeng |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8914670/ https://www.ncbi.nlm.nih.gov/pubmed/35270976 http://dx.doi.org/10.3390/s22051829 |
Ejemplares similares
-
Deep learning-based solution for smart contract vulnerabilities detection
por: Tang, Xueyan, et al.
Publicado: (2023) -
Smart Contract Vulnerability Detection Based on Deep Learning and Multimodal Decision Fusion
por: Deng, Weichu, et al.
Publicado: (2023) -
A Novel Smart Contract Vulnerability Detection Method Based on Information Graph and Ensemble Learning
por: Zhang, Lejun, et al.
Publicado: (2022) -
CBGRU: A Detection Method of Smart Contract Vulnerability Based on a Hybrid Model
por: Zhang, Lejun, et al.
Publicado: (2022) -
SPCBIG-EC: A Robust Serial Hybrid Model for Smart Contract Vulnerability Detection
por: Zhang, Lejun, et al.
Publicado: (2022)