GuiltyWalker: Distance to illicit nodes in the Bitcoin network

Understand

Money laundering is a global phenomenon with wide-reaching social and economic consequences.

• Cryptocurrencies are particularly susceptible due to the lack of control by authorities and their anonymity.
• Thus, it is important to develop new techniques to detect and prevent illicit cryptocurrency transactions.
• In our work, we propose new features based on the structure of the graph and past labels to boost the performance of machine learning methods to detect money laundering.