Smart contract vulnerability detection method based on pre-training and novel timing graph neural network
To address the limitations of current deep learning-based methods in extracting contract bytecode features and representing vulnerability semantics, as well as the shortcomings of the traditional graph neural networks in learning temporal information from contract statements, a method for detecting...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Chinês |
| Pubblicazione: |
Editorial Department of Journal on Communications
2024-09-01
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| Serie: | Tongxin xuebao |
| Soggetti: | |
| Accesso online: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024163/ |
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