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Law enforcement agencies are confronted with a rapidly growing number ofcryptoasset-related cases, often redundantly investigating the same caseswithout mutual knowledge or shared insights. In this paper, we explore thehypothesis that recognizing and acting upon connections between these cases cansignificantly streamline investigative processes. Through an analysis of adataset comprising 34 cyberfraud and 1793 sextortion spam cases, we discoveredthat 41% of the cyberfraud and 96.9% of the sextortion spam incidents can beinterconnected. We introduce a straightforward yet effective tool, which isintegrated into a broader cryptoasset forensics workflow and allowsinvestigators to highlight and share case connections. Our researchunequivocally demonstrates that recognizing case connections can lead toremarkable efficiencies, especially when extended across crime areas,international borders, and jurisdictions.

Increasing the Efficiency of Cryptoasset Investigations by Connecting the Cases