Detection of money laundering groups using supervised learning in networks

Understand

Money laundering is a major global problem, enabling criminal organisations to hide their ill-gotten gains and to finance further operations.

• Prevention of money laundering is seen as a high priority by many governments, however detection of money laundering without prior knowledge of predicate crimes remains a significant challenge.
• Previous detection systems have tended to focus on individuals, considering transaction histories and applying anomaly detection to identify suspicious behaviour.
• However, money laundering involves groups of collaborating individuals, and evidence of money laundering may only be apparent when the collective behaviour of these groups is considered.