How to Not Get Caught When You Launder Money on Blockchain?
Akcora, Cuneyt G., Purusotham, Sudhanva, Gel, Yulia R., Krawiec-Thayer, Mitchell, Kantarcioglu, Murat
–arXiv.org Artificial Intelligence
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 effective combating of e-crime activities involving cryptocurrencies requires the development of novel analytic methodology in AI.
arXiv.org Artificial Intelligence
Sep-21-2020
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