# How to Not Get Caught When You Launder Money on Blockchain?

arXiv: https://arxiv.org/abs/2010.15082 · HTML: https://mlsanity.com/paper/2010.15082/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Sep 2020.

## Built on by (most cited first, 2 of 2)

- [Machine Learning for Blockchain Data Analysis: Progress and Opportunities](https://mlsanity.com/paper/2404.18251/) (2024)
- [Cross Cryptocurrency Relationship Mining for Bitcoin Price Prediction](https://mlsanity.com/paper/2205.00974/) (2022)

## Abstract (arXiv)

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.