The Devil Behind the Mirror: Tracking the Campaigns of Cryptocurrency Abuses on the Dark Web

• URL: http://arxiv.org/abs/2401.04662v2
• Date: Sun, 7 Apr 2024 15:10:34 GMT
• Title: The Devil Behind the Mirror: Tracking the Campaigns of Cryptocurrency Abuses on the Dark Web
• Authors: Pengcheng Xia, Zhou Yu, Kailong Wang, Kai Ma, Shuo Chen, Xiapu Luo, Yajin Zhou, Lei Wu, Guangdong Bai,
• Abstract summary: We identify 2,564 illicit sites with 1,189 illicit blockchain addresses, which account for 90.8 BTC in revenue. Our exploration suggests that illicit activities on the dark web have strong correlations, which can guide us to identify new illicit blockchain addresses and onions.
• Score: 39.96427593096699
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The dark web has emerged as the state-of-the-art solution for enhanced anonymity. Just like a double-edged sword, it also inadvertently becomes the safety net and breeding ground for illicit activities. Among them, cryptocurrencies have been prevalently abused to receive illicit income while evading regulations. Despite the continuing efforts to combat illicit activities, there is still a lack of an in-depth understanding regarding the characteristics and dynamics of cryptocurrency abuses on the dark web. In this work, we conduct a multi-dimensional and systematic study to track cryptocurrency-related illicit activities and campaigns on the dark web. We first harvest a dataset of 4,923 cryptocurrency-related onion sites with over 130K pages. Then, we detect and extract the illicit blockchain transactions to characterize the cryptocurrency abuses, targeting features from single/clustered addresses and illicit campaigns. Throughout our study, we have identified 2,564 illicit sites with 1,189 illicit blockchain addresses, which account for 90.8 BTC in revenue. Based on their inner connections, we further identify 66 campaigns behind them. Our exploration suggests that illicit activities on the dark web have strong correlations, which can guide us to identify new illicit blockchain addresses and onions, and raise alarms at the early stage of their deployment.

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