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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Main Authors: | , , , , |
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Format: | Article |
Language: | zho |
Published: |
Editorial Department of Journal on Communications
2024-09-01
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Series: | Tongxin xuebao |
Subjects: | |
Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024163/ |
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