16 citations · 32 across the 11 of their papers we have counts for
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cs.CR2021
Dynamic Vulnerability Detection on Smart Contracts Using Machine Learning
Mojtaba Eshghie, Cyrille Artho, Dilian Gurov
In this work we propose Dynamit, a monitoring framework to detect reentrancy vulnerabilities in Ethereum smart contracts. The novelty of our framework is that it relies only on tra…
cs.CR2019★ 16 cited
Oracle-Supported Dynamic Exploit Generation for Smart Contracts
Haijun Wang, Yi Li, Shang-Wei Lin +3
Despite the high stakes involved in smart contracts, they are often developed in an undisciplined manner, leaving the security and reliability of blockchain transactions at risk. I…