在具有整数分区的加密货币中建模smurfing模式

IET Blockchain Pub Date : 2024-10-23 DOI:10.1049/blc2.12087
Marlene Koelbing, Klaus Kieseberg, Ceren Çulha, Bernhard Garn, Dimitris E. Simos
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引用次数: 0

摘要

在本文中,我们提出了金融交易模式的建模-重点是加密货币领域-作为分裂,并提出了一种利用整数分区生成这种分裂的方法。我们研究了现行的洗钱法规和有关金融交易监测阈值的指令。我们进一步举例说明,通过让分区尊重这些阈值标准,从它们生成的分割可以用于模拟非法事务行为,如smurfing所示。此外,我们还对Upbit黑客攻击后发生的洗钱活动进行了分析。基于我们的研究发现的潜在弱点,我们最后就如何改进当前的“反洗钱”技术和举措,以实现更有效的“反洗钱”工作提出了建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Modelling smurfing patterns in cryptocurrencies with integer partitions

Modelling smurfing patterns in cryptocurrencies with integer partitions

In this paper, we propose the modelling of patterns of financial transactions - with a focus on the domain of cryptocurrencies - as splittings and present a method for generating such splittings utilizing integer partitions. We study current money laundering regulations and directives concerning thresholds for monitoring of financial transactions. We further exemplify that, by having the partitions respect these threshold criteria, the splittings generated from them can be used for modelling illicit transactional behavior such as is shown by smurfing. In addition, we conduct an analysis of the splittings occurring in money laundering efforts that took place in the aftermath of the Upbit hack. Based on the potential weaknesses identified by our research, we finally provide suggestions on how to improve current AML techniques and initiatives towards more effective AML efforts.

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