Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity

29 May 2020 • Joana Lorenz • Maria Inês Silva • David Aparício • João Tiago Ascensão • Pedro Bizarro

Every year, criminals launder billions of dollars acquired from serious felonies (e.g., terrorism, drug smuggling, or human trafficking) harming countless people and economies. Cryptocurrencies, in particular, have developed as a haven for money laundering activity... (read more)

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