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Contract-Graph Fusion and Cross-Graph Matching for Smart-Contract Vulnerability Detection

Smart contracts empower many blockchain applications but are exposed to code-level defects. Existing methods do not scale to the evolving code, do not represent complex control and data flows, and lack granular and calibrated evidence. To address the above concerns, we present an across-graph corres...

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Principais autores: Xue Liang, Yao Tan, Jun Song, Fan Yang
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-10-01
Serier:Applied Sciences
Fag:
smart contracts
blockchain security
software vulnerability detection
graph neural networks
graph matching
Online adgang:https://www.mdpi.com/2076-3417/15/19/10844
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