How Reliable Is the Multi-Input Heuristic for Bitcoin Address Clustering in Law Enforcement Contexts?
Study scrutinises the multi-input heuristic for Bitcoin address clustering, questioning its forensic reliability — relevant for EU law-enforcement cooperation and AML compliance in crypto investigations.
Summary written by editorial AI · Source link below
arXiv:2607.07414v3 Announce Type: replace Abstract: Address clustering is an important technique in blockchain forensics, widely employed by law enforcement to trace illicit crypto asset flows. The multi-input heuristic (MIH), which clusters addresses potentially associated with the same entity, is the most widely used. Yet, despite its broad adoption, the MIH has rarely been evaluated against reliable ground truth data. We implement a reusable evaluation framework covering nine established met
Editorial Analysis
Enterprises with crypto-asset exposure or AML obligations should understand the limitations of address-clustering techniques that underpin blockchain forensics and sanctions screening.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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