AUTOMATIC DETECTION OF MONEY LAUNDERING ON BITCOIN

About the project

Bitcoin is a cryptocurrency launched in January 2009 and is now the largest in terms of market capitalization (2 trillion dollars as of January 2025). Because it offers pseudo-anonymity and high liquidity (between 50 and 100 billion dollars in transactions every 24 hours), it is an ideal candidate for money laundering.

The objective of this project is to design automated analysis tools to detect money laundering across the entire Bitcoin blockchain. We encourage, without limiting ourselves to, a methodology based on detecting structural invariants in the real graph of financial flows on the Bitcoin blockchain.

Principal investigator
Arnaud Legout, Centre Inria d'Université Côte d'Azur
Projects partners
  • Abdoul Nasser Hassane Amadou, Mohammed VI Polytechnic University
  • Konstantin Avrachenkov, Centre Inria d'Université Côte d'Azur
  • Imane Fouad, Mohammed VI Polytechnic University
  • Anas Motii, Mohammad VI Polytechnic University, College of Computing
Duration

March 2025 – December 2026

Total amount
60k€
Potential publications

Abdoul Nasser Hassane Amadou, Arnaud Legout, Konstantin Avrachenkov , Imane Fouad, Anas Motii. Nugget: Detection of Illicit Bitcoin Addresses via Structural and Temporal Self Learning Embedding, January 2026. Under submission