How to Not Get Caught When You Launder Money on Blockchain? [article]

Cuneyt G. Akcora, Sudhanva Purusotham, Yulia R. Gel, Mitchell Krawiec-Thayer, Murat Kantarcioglu
2020 arXiv   pre-print
The number of blockchain users has tremendously grown in recent years. As an unintended consequence, e-crime transactions on blockchains has been on the rise. Consequently, public blockchains have become a hotbed of research for developing AI tools to detect and trace users and transactions that are related to e-crime. We argue that following a few select strategies can make money laundering on blockchain virtually undetectable with most of the existing tools and algorithms. As a result, the
more » ... ective combating of e-crime activities involving cryptocurrencies requires the development of novel analytic methodology in AI.
arXiv:2010.15082v1 fatcat:46vapkkq25hv3luabg4moszlbm