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Vulnerable Smart Contract Function Locating Based on Multi-Relational Nested Graph Convolutional Network. (arXiv:2306.04479v1 [cs.CR])
cs.CR updates on arXiv.org arxiv.org
The immutable and trustable characteristics of blockchain enable smart
contracts to be applied in various fields. Unfortunately, smart contracts are
subject to various vulnerabilities, which are frequently exploited by
attackers, causing financial damage to users.In this paper, we study the
problem of vulnerable smart contract function locating. We construct a novel
Multi-Relational Nested contract Graph (MRNG) to better characterize the rich
syntactic and semantic information in the smart contract code, including the
relationships between data and instructions. An MRNG represents …
attackers blockchain contract enable exploited financial function nested network problem smart smart contract smart contracts study vulnerabilities vulnerable