Project Details
Description
Recent research in debriefing arrested criminals has identified that cyber crime is not a solitary and anti-social activity, but one wherein online social interactions play a critical role in the recruitment, training and professional advancement of criminals. As such, investigating these social interactions is important to understanding the dynamics leading to initial engagement in cyber crime, continued careers and (potentially) retirement. Multiple online lenses into cyber criminal communities are ripe for exploitation to this end. Advanced data mining of these resources can be complemented with police reports from debriefing of offenders and evidence from investigator experience to form a detailed understanding of the characteristics of cyber offenders, their behavioural patterns and their career progression in cyber crime.
The AMoC project aims to take a multidisciplinary approach, combining expertise in intelligent technologies to tackle cyber crime with methodological approaches from social sciences, such as psychology and (socio)linguistic theory, and law enforcement approaches to cyber crime, to understand the social and economic development of cyber criminal careers.
The AMoC project aims to take a multidisciplinary approach, combining expertise in intelligent technologies to tackle cyber crime with methodological approaches from social sciences, such as psychology and (socio)linguistic theory, and law enforcement approaches to cyber crime, to understand the social and economic development of cyber criminal careers.
| Status | Finished |
|---|---|
| Effective start/end date | 1/01/19 → 31/03/21 |
Research Groups and Themes
- Cyber Security
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets
Peersman, C., Pencheva, D. & Rashid, A., 23 Mar 2022, 2021 APWG Symposium on Electronic Crime Research (eCrime). Institute of Electrical and Electronics Engineers (IEEE), 22258803. (eCrime Researchers Summit).Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)
5 Citations (Scopus) -
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
6 Citations (Scopus) -
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 AccessFile8 Citations (Scopus)390 Downloads (Pure)