arXiv:2503.01686cs.CYcs.LG2025-03被引 5

识别加密货币拉高出货骗局背后的操盘手,助力监管打击市场操纵

\textsc{Perseus}: Tracing the Masterminds Behind Cryptocurrency Pump-and-Dump Schemes

  • 构建时序属性图,结合社交网络与市场数据追踪信息传播路径
  • 实测发现438个操盘手,检测精度和速度优于现有方法
  • 为监管机构提供风险溯源与干预工具,适合金融安全研究者

操盘手是组织、协调并实施加密货币拉高出货骗局的实体,这类交易操纵行为破坏市场诚信,导致无辜投资者损失。以往研究虽能检测市场中的拉高出货活动、预测目标币种,并分析投资者及社交网络(OSN)实体,但未触及问题根源。本文提出 extsc{Perseus} 检测系统,实时采集社交网络与加密货币市场数据,构建保留信息扩散方向与社区结构的时序属性图,利用图神经网络(GNN)识别操盘手。该设计在真实世界部署期间(2024年2月16日至10月9日)成功识别出438名高效参与拉高出货信息传播网络的操盘手,相较当前最优(SOTA)欺诈检测方法,实现更高的F1分数与精确率,且具备快速训练与推理能力。 extsc{Perseus} 为监管机构提供了对操盘手风险的解释与监督能力,有助于遏制加密货币市场的拉高出货行为。

原文摘要 · Abstract (English)

Masterminds are entities organizing, coordinating, and orchestrating cryptocurrency pump-and-dump schemes, a form of trade-based manipulation undermining market integrity and causing financial losses for unwitting investors. Previous research detects pump-and-dump activities in the market, predicts the target cryptocurrency, and examines investors and \ac{osn} entities. However, these solutions do not address the root cause of the problem. There is a critical gap in identifying and tracing the masterminds involved in these schemes. In this research, we develop a detection system \textsc{Perseus}, which collects real-time data from the \acs{osn} and cryptocurrency markets. \textsc{Perseus} then constructs temporal attributed graphs that preserve the direction of information diffusion and the structure of the community while leveraging \ac{gnn} to identify the masterminds behind pump-and-dump activities. Our design of \textsc{Perseus} leads to higher F1 scores and precision than the \ac{sota} fraud detection method, achieving fast training and inferring speeds. Deployed in the real world from February 16 to October 9 2024, \textsc{Perseus} successfully detects $438$ masterminds who are efficient in the pump-and-dump information diffusion networks. \textsc{Perseus} provides regulators with an explanation of the risks of masterminds and oversight capabilities to mitigate the pump-and-dump schemes of cryptocurrency.

区块链安全欺诈检测图神经网络监管科技

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