Busting up Monopoly: Methods for modern darknet marketplace forensics

IF 2 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Daniel Dolejška, Michal Koutenský, Vladimír Veselý, Jan Pluskal
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引用次数: 0

Abstract

Darknet marketplaces represent the most delinquent evolution step in distributing illicit goods such as drugs, steroids, firearms, warez, or leaked personal information. On the one hand, law enforcement agencies try to catch vendors, buyers, and operators of darknet marketplaces. On the other hand, the criminals mentioned above constantly stretch the limits of overlay networks, applied cryptography, and cryptocurrency pseudonymity. This paper intends to provide relevant and up-to-date (for the year 2022) information about potential ways to deal with darknet marketplaces from the perspective of investigators. The paper outlines methods (based on periodic web scraping) that may help sworn officers to gather evidence about darknet marketplace (ab)users. The potential is demonstrated in a real-life case study of the Monopoly Market. For instance, suggested approaches seem capable: monitoring the demography and activities of darknet marketplace users, estimating the number of procurements and their value, and correlating user identities with their cryptocurrency addresses. The paper also provides an applicability analysis of proposed methods on the subset of currently trending darknet marketplaces.

打破垄断:现代暗网市场取证方法
暗网市场代表了分销非法商品(如毒品、类固醇、枪支、warez或泄露的个人信息)的最违法的进化步骤。一方面,执法机构试图抓住暗网市场的供应商、买家和运营商。另一方面,上述犯罪分子不断扩展覆盖网络,应用密码学和加密货币假名的极限。本文旨在从调查人员的角度提供有关处理暗网市场的潜在方法的相关和最新(2022年)信息。这篇论文概述了一些方法(基于周期性的网络抓取),这些方法可以帮助宣誓就职的官员收集有关暗网市场(ab)用户的证据。垄断市场的现实案例研究证明了这种潜力。例如,建议的方法似乎是可行的:监控暗网市场用户的人口统计和活动,估计采购数量及其价值,并将用户身份与其加密货币地址关联起来。本文还提供了对当前趋势暗网市场子集所提出方法的适用性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.90
自引率
15.00%
发文量
87
审稿时长
76 days
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