Digital Drift and the Evolution of a Large Cybercrime Forum

Jack Hughes, Alice Hutchings
{"title":"Digital Drift and the Evolution of a Large Cybercrime Forum","authors":"Jack Hughes, Alice Hutchings","doi":"10.1109/EuroSPW59978.2023.00026","DOIUrl":null,"url":null,"abstract":"Cybercrime forum datasets are large and complex. Prior research uses aggregated time series data to create a picture of the whole dataset, or focuses on a smaller sample of cross sectional data, often for a specific subcommunity or crime time. This paper uses the longitudinal time series aspect of cybercrime forums to measure and observe the evolution of forums at a macro scale. Applying the digital drift theoretical framework, borrowed from criminology, we find a large amount of churn on the forum, with only a small proportion of users continuing long-term engagement. Measurements show a continual shift in forum activity, with yearbased cohorts moving from starting in hacking discussions, towards starting in general discussions, and later towards e-whoring boards. The group of members who are active on the forum for over 12 months, typically have their last post in the marketplace, while other members, who are active for shorter periods of time, have their last post in hacking-related boards. Overall, we see an increasing trend towards financially-driven cybercrime, at both the user and forum level. Users post more in financially-related boards over time, and forum activity has trended away from gaming/social activity, trending towards more activity in market-related boards.","PeriodicalId":220415,"journal":{"name":"2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EuroSPW59978.2023.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Cybercrime forum datasets are large and complex. Prior research uses aggregated time series data to create a picture of the whole dataset, or focuses on a smaller sample of cross sectional data, often for a specific subcommunity or crime time. This paper uses the longitudinal time series aspect of cybercrime forums to measure and observe the evolution of forums at a macro scale. Applying the digital drift theoretical framework, borrowed from criminology, we find a large amount of churn on the forum, with only a small proportion of users continuing long-term engagement. Measurements show a continual shift in forum activity, with yearbased cohorts moving from starting in hacking discussions, towards starting in general discussions, and later towards e-whoring boards. The group of members who are active on the forum for over 12 months, typically have their last post in the marketplace, while other members, who are active for shorter periods of time, have their last post in hacking-related boards. Overall, we see an increasing trend towards financially-driven cybercrime, at both the user and forum level. Users post more in financially-related boards over time, and forum activity has trended away from gaming/social activity, trending towards more activity in market-related boards.
数字漂移和大型网络犯罪论坛的演变
网络犯罪论坛数据集庞大而复杂。先前的研究使用聚合的时间序列数据来创建整个数据集的图像,或者关注较小的横截面数据样本,通常用于特定的子社区或犯罪时间。本文利用网络犯罪论坛的纵向时间序列方面,在宏观尺度上衡量和观察论坛的演变。借用犯罪学的数字漂移理论框架,我们发现论坛上有大量的流失率,只有一小部分用户会持续长期参与。测量显示论坛活动的持续变化,以年份为基础的队列从黑客讨论开始,到一般讨论开始,再到电子嫖娼论坛。在论坛上活跃超过12个月的成员,他们的最后一个帖子通常是在市场上,而其他活跃时间较短的成员,他们的最后一个帖子是在黑客相关的论坛上。总的来说,我们看到,在用户和论坛层面,金融驱动的网络犯罪呈上升趋势。随着时间的推移,用户在与金融相关的版块上发布的内容越来越多,论坛活动也逐渐从游戏/社交活动转向与市场相关的版块。
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
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信