Clusters linked to illegal activity and money laundering have been found through forensic examination of a graph dataset containing transactions on the Bitcoin blockchain. This includes the discovery of criminal proceeds transferred to a cryptocurrency exchange and wallets affiliated with a Russian darknet market that were previously unidentified.
The results were produced by Elliptic in association with the MIT-IBM Watson AI Lab.
The co-authors wrote in a report shared with The Hacker News that the 26 GB dataset, nicknamed Elliptic2, is a huge graph dataset featuring 122K annotated subgraphs of Bitcoin clusters within a background graph consisting of 49M node clusters and 196M edge transactions.
Elliptic2 expands upon the Elliptic Data Set (also known as Elliptic1), a public transaction graph released in July 2019 to employ graph convolutional neural networks read more Bitcoin Forensic Analysis Uncovers Money Laundering Clusters and Criminal Proceeds.
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