A0732
Title: Detecting illicit activity in digital cryptocurrency networks
Authors: Mingkun Yuan - Renmin University of China (China) [presenting]
Abstract: Anti-money laundering (AML) regulations exist to protect financial systems, but they often hinder financial inclusion and result in higher participation costs for those who are the poorest and on the edges of society. Digital cryptocurrencies offer one possible solution for financial inclusion, but like traditional financial systems, they are still susceptible to illicit activity. The literature on anomaly and fraud detection in cryptocurrency networks is reviewed, and attempts to understand the temporal evolution of cryptocurrency networks are made to determine the most significant and relevant factors for determining fraud in cryptocurrency networks are made.
