Uma Proposta de Algoritmo para a Detecção de Mixers na Ethereum

• Pedro Leale UFU
• Ivan da Silva Sendin UFU

DOI: https://doi.org/10.5753/sbseg_estendido.2025.10916

Resumo

Este trabalho apresenta uma metodologia de detecção de contratos inteligentes do tipo mixers na rede Ethereum. Utilizou-se um modelo de aprendizado de máquina baseado em Random Forest, treinado com transações do Tornado Cash e balanceado com amostras de 100 endereços aleatórios não relacionados a mixers. O modelo foi treinado com dados de março de 2025 e validado em 29/10/2020, dia de alto volume de transações, identificando corretamente 3 endereços do Tornado Cash.

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