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What is KNN for Smart Contract Vulnerability Detection about?

This study introduces a Multiple-Objective Detection Neural Network (MODNN) for detecting vulnerabilities in smart contracts on the Ethereum blockchain, addressing the challenges of existing detection methods. MODNN can identify 12 types of vulnerabilities, including known and unknown threats, with an impressive average F1 Score of 94.8% based on evaluations of over 18,000 smart contracts. Additionally, the research includes the development of a data processing tool, Smart Contract-Crawler (SCC), to support

Author

tyenfn

Language

EN