UDC 004.89
DOI: 10.36871/2618-9976.2021.02.007
Authors
Naumov Artemiy Igorevich
National Research Nuclear University "MEPhI", Moscow, Russia
Radygin Viktor Iurevich
Candidate of Technical Sciences, National Research Nuclear University "MEPhI", Moscow, Russia
Ivanov Mikhail Nikolaevich
Candidate of Economics Sciences, Financial University under the Government of the Russian Federation,
Moscow, Russia
Abstract
This article addresses the problem of using cryptocurrencies in crimes related to money laundering and terrorist financing. The development of technologies that allow anonymizing participants of various cryptosystems not only increases their reliability and security for ordinary users, but also exposes such systems to the risk of being used by criminals, and also significantly complicates countering fraudulent or other illegal actions committed using cryptocurrencies. The authors propose algorithms that allow us to classify bitcoin transactions on the subject of whether they use mixers – the main means of hiding traces in the public blockchain and, perhaps, the main participant in most criminal schemes, whether it is money laundering or terrorist financing.
Keywords
Cryptocurrency
Blockchain
Bitcoin
Money laundering
Mixers
Transaction
Classification
Cryptocurrency forensics
