Reentrancy vulnerability detection based on graph convolutional networks and expert patterns under subspace mapping-Reference-Cited by-同舟云学术

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Reentrancy vulnerability detection based on graph convolutional networks and expert patterns under subspace mapping

Published:2024-07 Issue: Volume:142 Page:103894
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Guo Longtao,Huang Huakun^ORCID,Zhao Lingjun,Wang Peiliang,Jiang Shan^ORCID,Su Chunhua^ORCID

Publisher

Elsevier BV

Reference41 articles.

1. Learning to represent programs with graphs;Allamanis,2017

2. Anon, ., Solidity — Solidity 0.8.20 documentation, https://docs.soliditylang.org/en/v0.8.20/.

3. Making smart contracts smarter;Badruddoja,2021

4. How attentive are graph attention networks?;Brody,2021

5. Combine sliced joint graph with graph neural networks for smart contract vulnerability detection;Cai;J. Syst. Softw.,2023

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