The reviewed record of science sign in
Pith

arxiv: 2010.15082 · v1 · pith:LXHUGUNP · submitted 2020-09-22 · cs.CR · cs.AI

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

Reviewed by Pith T0 review T1 audit T2 compute T3 formal T4 kernel pith:LXHUGUNPrecord.jsonopen to challenge →

classification cs.CR cs.AI
keywords blockchaine-crimeblockchainsmoneytoolstransactionsusersactivities
0
0 comments X
read the original abstract

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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.