东京、丹佛、赫尔辛基、里斯本还是教授?理解暗网市场中网络犯罪角色的框架

Claudia Peersman, Denny Pencheva, A. Rashid
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引用次数: 3

摘要

相对而言,在以经济为动机的网络犯罪中,关于角色和这些角色的分离的信息很少。由于暗网市场(dnm)是在线论坛,角色通常可以与论坛中的成员或用户类型合并,例如,管理员,新用户等。本文提出的见解基于对地下论坛线程的对话分析,结合对这些论坛中参与者之间关系的社会网络分析,以及使用NLP技术对其通信主题范围的自动分析。这导致了对角色和角色之间的权力关系的更细致的理解,因为它们是通过语言互动产生并由语言互动定义的。基于这种混合方法,我们开发了dnm中超越基本供需逻辑的三个关键角色的动态类型:企业家,影响者和看门人。对这些作用进行更密切的分析有助于更好地了解论坛中的新趋势,并有助于确定高风险目标并确定其优先次序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets
There is comparatively little information about the roles and the separation of these roles within financially-motivated cybercrime online. As Darknet Markets (DNMs) are online fora, roles can often be conflated with membership or user types within such fora, e.g., administrator, new user, etc. The insights presented in this paper are grounded in a Conversation Analysis of underground forum threads in combination with Social Network Analysis of the relationships between actors in these fora and an automated analysis of the thematic scope of their communications using NLP techniques. This results in a more nuanced understanding of roles, and the power relationships between roles, as they emerge through and are defined by linguistic interactions. Based on this mixed methods approach, we developed a dynamic typology of three key roles within DNMs that goes beyond a basic supply-demand logic: entrepreneurs, influencers and gatekeepers. A closer analysis of these roles can contribute to a better understanding of emerging trends in a forum and allow for the identification and prioritisation of high-risk targets.
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