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Inspection-L: Self-Supervised GNN Node Embeddings for Money Laundering Detection in Bitcoin. (arXiv:2203.10465v4 [cs.CR] UPDATED)
Oct. 11, 2022, 1:20 a.m. | Wai Weng Lo, Gayan K. Kulatilleke, Mohanad Sarhan, Siamak Layeghy, Marius Portmann
cs.CR updates on arXiv.org arxiv.org
Criminals have become increasingly experienced in using cryptocurrencies,
such as Bitcoin, for money laundering. The use of cryptocurrencies can hide
criminal identities and transfer hundreds of millions of dollars of dirty funds
through their criminal digital wallets. However, this is considered a paradox
because cryptocurrencies are goldmines for open-source intelligence, giving law
enforcement agencies more power when conducting forensic analyses. This paper
proposed Inspection-L, a graph neural network (GNN) framework based on a
self-supervised Deep Graph Infomax (DGI) and Graph …
More from arxiv.org / cs.CR updates on arXiv.org
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