A Depiction and Classification of the Stolen Data Market Ecosystem and Comprising Darknet Markets: A Multidisciplinary Approach

IF 1.3 2区 社会学 Q3 CRIMINOLOGY & PENOLOGY
C. J. Howell, Taylor Fisher, Caitlyn N. Muniz, David Maimon, Yolanda Rotzinger
{"title":"A Depiction and Classification of the Stolen Data Market Ecosystem and Comprising Darknet Markets: A Multidisciplinary Approach","authors":"C. J. Howell, Taylor Fisher, Caitlyn N. Muniz, David Maimon, Yolanda Rotzinger","doi":"10.1177/10439862231158005","DOIUrl":null,"url":null,"abstract":"Scant research has investigated the illicit online ecosystem that enables the sale of stolen data. Even fewer studies have examined the longitudinal trends of the markets on which these data are bought and sold. To fill this gap in the literature, our research team identified 30 darknet markets advertising stolen data products from September 1, 2020, through April 30, 2021. We then developed python web scrapers to systematically extract information pertaining to stolen data products on a weekly basis. Using these data, we calculated the number of vendors, listings, sales, and revenue across the markets and at the aggregate, ecosystem level. Moreover, we developed a data-driven market classification system drawing from ecological principles and dominant firm theory. Findings indicate that markets vary in size and success. Although some markets generated over $91 million in revenue from stolen data products, the median revenue across markets during the observational period was only $95,509. Variability also exists across markets in respect to the number of vendors, listings, and sales. Only three markets were classified as financially successful and stable (i.e., dominant firms). We argue resources should be allocated to target markets fitting these criteria.","PeriodicalId":47370,"journal":{"name":"Journal of Contemporary Criminal Justice","volume":"39 1","pages":"298 - 317"},"PeriodicalIF":1.3000,"publicationDate":"2023-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Contemporary Criminal Justice","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1177/10439862231158005","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
引用次数: 2

Abstract

Scant research has investigated the illicit online ecosystem that enables the sale of stolen data. Even fewer studies have examined the longitudinal trends of the markets on which these data are bought and sold. To fill this gap in the literature, our research team identified 30 darknet markets advertising stolen data products from September 1, 2020, through April 30, 2021. We then developed python web scrapers to systematically extract information pertaining to stolen data products on a weekly basis. Using these data, we calculated the number of vendors, listings, sales, and revenue across the markets and at the aggregate, ecosystem level. Moreover, we developed a data-driven market classification system drawing from ecological principles and dominant firm theory. Findings indicate that markets vary in size and success. Although some markets generated over $91 million in revenue from stolen data products, the median revenue across markets during the observational period was only $95,509. Variability also exists across markets in respect to the number of vendors, listings, and sales. Only three markets were classified as financially successful and stable (i.e., dominant firms). We argue resources should be allocated to target markets fitting these criteria.
被盗数据市场生态系统的描述和分类,包括暗网市场:一个多学科的方法
很少有研究调查非法的网络生态系统,使被盗数据的销售成为可能。甚至更少的研究考察了这些数据买卖所依据的市场的纵向趋势。为了填补这一文献空白,我们的研究团队确定了30个暗网市场,从2020年9月1日到2021年4月30日,广告被盗数据产品。然后,我们开发了python网络抓取器,系统地每周提取与被盗数据产品有关的信息。利用这些数据,我们计算了整个市场和整个生态系统层面的供应商、列表、销售额和收入的数量。此外,我们还根据生态学原理和主导企业理论建立了一个数据驱动的市场分类系统。研究结果表明,市场的规模和成功程度各不相同。尽管一些市场从被盗数据产品中获得了超过9100万美元的收入,但在观察期间,所有市场的平均收入仅为95,509美元。在不同的市场中,供应商数量、上市数量和销售额也存在差异。只有三个市场被归类为财务成功和稳定(即占主导地位的公司)。我们认为,应将资源分配给符合这些标准的目标市场。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
3.30
自引率
0.00%
发文量
45
期刊介绍: The Journal of Contemporary Criminal Justice presents single-themed special issues that focus on a critical issue in contemporary criminal justice in order to provide a cogent, thorough, and timely exploration of the topic. Subjects include such concerns as organized crime, community policings, gangs, white-collar crime, and excessive police force.
×
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