DA-GNN: A smart contract vulnerability detection method based on Dual Attention Graph Neural Network-Reference-Cited by-同舟云学术

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DA-GNN: A smart contract vulnerability detection method based on Dual Attention Graph Neural Network

Published:2024-04 Issue: Volume:242 Page:110238
ISSN:1389-1286
Container-title:Computer Networks
language:en
Short-container-title:Computer Networks

Author:

Zhen Zixian,Zhao Xiangfu^ORCID,Zhang Jinkai,Wang Yichen^ORCID,Chen Haiyue

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference42 articles.

1. Formalizing and Securing Relationships on Public Networks;Szabo,1997

2. Smart contract security: A software lifecycle perspective;Huang;IEEE Access,2019

3. V. Buterin, A next-generation smart contract and decentralized application platform, White Paper, 2014.

4. Addressing the DAO insider attack in RPL’s Internet of Things networks;Ghaleb;IEEE Commun. Lett.,2018

5. The parity wallet hack explained;Palladino,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Smart contract vulnerabilities detection with bidirectional encoder representations from transformers and control flow graph;Multimedia Systems;2024-07-10

2. Ethereum Smart Contract Vulnerability Detection and Machine Learning-Driven Solutions: A Systematic Literature Review;Electronics;2024-06-12

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