Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | 2021 APWG Symposium on Electronic Crime Research (eCrime) |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| ISBN (Electronic) | 9781665480291 |
| ISBN (Print) | 9781665480307 |
| DOIs | |
| Publication status | Published - 23 Mar 2022 |
| Event | eCrime 2021 SYMPOSIUM ON ELECTRONIC CRIME RESEARCH - Virtual Duration: 1 Dec 2021 → 3 Dec 2021 |
Publication series
| Name | eCrime Researchers Summit |
|---|---|
| Publisher | IEEE |
| ISSN (Print) | 2159-1237 |
| ISSN (Electronic) | 2159-1245 |
Conference
| Conference | eCrime 2021 SYMPOSIUM ON ELECTRONIC CRIME RESEARCH |
|---|---|
| Abbreviated title | eCrime 2021 |
| Period | 1/12/21 → 3/12/21 |
Keywords
- Darknet
- Cybercriminal roles
- social network analysis
- natural language processing
- Conversation analysis
- mixed methods
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AMoC: A Multifaceted Machine Learning-based Toolkit for Analysing Cybercriminal Communities on the Darknet
Chen, C., Peersman, C., Edwards, M., Ursani, Z. & Rashid, A., 15 Dec 2021, p. 2516-2524.Research output: Contribution to conference › Conference Paper › peer-review
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The Impact of Adverse Events in Darknet Markets: an Anomaly Detection Approach
Ursani, Z., Peersman, C., Edwards, M., Chen, C. & Rashid, A., 29 Oct 2021, 2021 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW). Institute of Electrical and Electronics Engineers (IEEE), p. 227-238 12 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
Open AccessFile9 Citations (Scopus)409 Downloads (Pure)
Projects
- 2 Finished
-
AUTAPP (REPHRAIN): Automated Detection of Online Harms for Social Media Applications
Peersman, C. (Principal Investigator), Zhang, M. (Co-Investigator) & Nautiyal, R. (Researcher)
1/10/21 → 31/12/23
Project: Research
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AMoC: Advanced Modelling of Cyber Criminal Careers
Rashid, A. (Principal Investigator), Edwards, M. (Researcher), Peersman, C. (Researcher), Williams, E. J. (Researcher), Van De Sandt, E. H. A. (Researcher), Davidson, B. (Researcher) & Hallett, J. (Researcher)
1/01/19 → 31/03/21
Project: Research
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