打破垄断:现代暗网市场取证方法

IF 2 4区 医学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS
Daniel Dolejška, Michal Koutenský, Vladimír Veselý, Jan Pluskal
{"title":"打破垄断:现代暗网市场取证方法","authors":"Daniel Dolejška,&nbsp;Michal Koutenský,&nbsp;Vladimír Veselý,&nbsp;Jan Pluskal","doi":"10.1016/j.fsidi.2023.301604","DOIUrl":null,"url":null,"abstract":"<div><p>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.</p></div>","PeriodicalId":48481,"journal":{"name":"Forensic Science International-Digital Investigation","volume":null,"pages":null},"PeriodicalIF":2.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Busting up Monopoly: Methods for modern darknet marketplace forensics\",\"authors\":\"Daniel Dolejška,&nbsp;Michal Koutenský,&nbsp;Vladimír Veselý,&nbsp;Jan Pluskal\",\"doi\":\"10.1016/j.fsidi.2023.301604\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>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.</p></div>\",\"PeriodicalId\":48481,\"journal\":{\"name\":\"Forensic Science International-Digital Investigation\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.0000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forensic Science International-Digital Investigation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666281723001166\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic Science International-Digital Investigation","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666281723001166","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

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。
Busting up Monopoly: Methods for modern darknet marketplace forensics

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
5.90
自引率
15.00%
发文量
87
审稿时长
76 days
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信