Law enforcement agencies are confronted with a rapidly growing number of cryptoasset-related cases, often redundantly investigating the same cases without mutual knowledge or shared insights. In this paper, we explore the hypothesis that recognizing and acting upon connections between these cases can significantly streamline investigative processes. Through an analysis of a dataset comprising 34 cyberfraud and 1793 sextortion spam cases, we discovered that 41% of the cyberfraud and 96.9% of the sextortion spam incidents can be interconnected. We introduce a straightforward yet effective tool, which is integrated into a broader cryptoasset forensics workflow and allows investigators to highlight and share case connections. Our research unequivocally demonstrates that recognizing case connections can lead to remarkable efficiencies, especially when extended across crime areas, international borders, and jurisdictions.

翻译：执法机构正面临着数量激增的加密资产相关案件，往往在缺乏信息互通与知识共享的情况下重复调查同一案件。本文提出并验证了识别并利用案件间关联性能够显著优化调查流程的假设。通过对34起网络诈骗案与1793起勒索垃圾邮件案的数据集分析，我们发现41%的网络诈骗案和96.9%的勒索垃圾邮件案存在相互关联性。我们介绍了一种简洁高效的工具，该工具集成于更广泛的加密资产取证工作流程中，可帮助调查人员标注并共享案件关联信息。本研究成果明确表明：识别案件关联性能带来显著效率提升，尤其在跨犯罪领域、跨国界及跨司法管辖区的扩展应用中效果更为突出。