AI-Enhanced Smart Contract Vulnerability Detection Using Graph Neural Networks
Keywords:
.Abstract
This study presents an AI-enhanced framework for detecting vulnerabilities insmart contracts using Graph Neural Networks (GNNs). By modeling smart contracts as graphs
References
N. Atzei, M. Bartoletti, and T. Cimoli, “A survey of attacks on Ethereum smart contracts (SoK),” Principles of Security and Trust, pp. 164–186, 2017.
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Published
2023-09-20
How to Cite
Ravi Singh Rana,Harvendra Kumar,Ekta Malik,Prithvi Singh. (2023). AI-Enhanced Smart Contract Vulnerability Detection Using Graph Neural Networks . Journal of Computational Analysis and Applications (JoCAAA), 31(4), 2235–2254. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/4379
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