SCVD-SA: A Smart Contract Vulnerability Detection Method Based on Hybrid Deep Learning Model and Self-attention Mechanism

D.F. Wang; Jinfu Chen; Saihua Cai; Qiaowei Feng; Yuhao Chen; Xinyi Hu

doi:10.1109/saner-c62648.2024.00034

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SCVD-SA: A Smart Contract Vulnerability Detection Method Based on Hybrid Deep Learning Model and Self-attention Mechanism

D.F. Wang Jinfu Chen Saihua Cai Qiaowei Feng Yuhao Chen Xinyi Hu

Year: 2024 Pages: 207-214

DOI: 10.1109/saner-c62648.2024.00034

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Keywords:

Mechanism (biology) Computer science Vulnerability (computing) Artificial intelligence Deep learning Computer security Risk analysis (engineering) Business

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3.06

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0.88

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Topics

Blockchain Technology Applications and Security

Physical Sciences → Computer Science → Information Systems

Artificial Intelligence in Law

Social Sciences → Social Sciences → Political Science and International Relations

Insurance and Financial Risk Management

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

SCVD-SA: A Smart Contract Vulnerability Detection Method Based on Hybrid Deep Learning Model and Self-attention Mechanism

Metrics

Citation History

Topics

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