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Of degens and defrauders: Using open-source investigative tools to investigate decentralized finance frauds and money laundering

Trozze, Arianna; Davies, Toby; Kleinberg, Bennett; (2023) Of degens and defrauders: Using open-source investigative tools to investigate decentralized finance frauds and money laundering. Forensic Science International: Digital Investigation , 46 , Article 301575. 10.1016/j.fsidi.2023.301575. Green open access

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Abstract

Fraud across the decentralized finance (DeFi) ecosystem is growing, with victims losing billions to DeFi scams every year. However, there is a disconnect between the reported value of these scams and associated legal prosecutions. We use open-source investigative tools to (1) investigate potential frauds involving Ethereum tokens using on-chain data and token smart contract analysis, and (2) investigate the ways proceeds from these scams were subsequently laundered. The analysis enabled us to (1) uncover transaction-based evidence of several rug pull and pump-and-dump schemes, and (2) identify their perpetrators’ money laundering tactics and cash-out methods. The rug pulls were less sophisticated than anticipated, money laundering techniques were also rudimentary and many funds ended up at centralized exchanges. This study demonstrates how open-source investigative tools can extract transaction-based evidence that could be used in a court of law to prosecute DeFi frauds. Additionally, we investigate how these funds are subsequently laundered.

Type: Article
Title: Of degens and defrauders: Using open-source investigative tools to investigate decentralized finance frauds and money laundering
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.fsidi.2023.301575
Publisher version: https://doi.org/10.1016/j.fsidi.2023.301575
Language: English
Additional information: © 2023 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: Cryptocurrency, Ethereum, Decentralized finance, Fraud detection, Money laundering
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Security and Crime Science
URI: https://discovery.ucl.ac.uk/id/eprint/10172133
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