Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/89030
Título: | Fraud detection and anti-money laundering applying machine learning techniques in cryptocurrency transactional graphs |
Autor(es): | Martins, Ana P. Brito, Miguel A. |
Palavras-chave: | AML Cryptocurrencies Fraud detection Graphs Machine learning |
Data: | 1-Jan-2023 |
Resumo(s): | Cryptocurrencies have advantages such as lower costs, efficiency, and security, but are vulnerable to fraud due to a lack of controls and anonymity. Criminals use virtual currencies for quick, anonymous transactions. Robust measures are needed to prevent illegal activities like money laundering. Machine learning (ML) and graph analysis can help detect fraud in the cryptocurrency market, despite criminals mimicking normal transactions. This study aims to use cutting-edge technologies like ML and graph learning to find fraudulent patterns in cryptocurrency transactions. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/89030 |
ISBN: | 9789898704504 |
Arbitragem científica: | yes |
Acesso: | Acesso restrito UMinho |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Fraud Detection and Anti-Money Laundering Applying Machine Learning Techniques in Cryptocurrency Transactional Graphs.pdf Acesso restrito! | 121,51 kB | Adobe PDF | Ver/Abrir |