Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets

Claudia Peersman; Denny Pencheva; Awais Rashid

doi:10.1109/eCrime54498.2021.9738782

Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets

Claudia Peersman, Denny Pencheva, Awais Rashid

Department of Computer Science

Research output: Contribution to conference › Conference Paper › peer-review

Original language	English
DOIs	https://doi.org/10.1109/eCrime54498.2021.9738782
Publication status	Accepted/In press - 2021
Event	eCrime 2021 SYMPOSIUM ON ELECTRONIC CRIME RESEARCH - Virtual Duration: 1 Dec 2021 → 3 Dec 2021

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

Access to Document

10.1109/eCrime54498.2021.9738782Licence: CC BY

Handle.net

Persistent link

1 Conference Contribution (Conference Proceeding)
1 Conference Paper

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
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)

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AUTAPP (REPHRAIN): Automated Detection of Online Harms for Social Media Applications
Peersman, C., Zhang, M. & Nautiyal, R.
Project: Research
AMoC: Advanced Modelling of Cyber Criminal Careers
Rashid, A., Edwards, M., Peersman, C., Williams, E. J., Van De Sandt, E. H. A., Davidson, B. & Hallett, J.
1/01/19 → 31/03/21
Project: Research

Cite this

@conference{17759ec7e7894a07b481a317551d0cdb,

title = "Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets",

keywords = "Darknet, Cybercriminal roles, social network analysis, natural language processing, Conversation analysis, mixed methods",

author = "Claudia Peersman and Denny Pencheva and Awais Rashid",

year = "2021",

doi = "10.1109/eCrime54498.2021.9738782",

language = "English",

note = "eCrime 2021 SYMPOSIUM ON ELECTRONIC CRIME RESEARCH, eCrime 2021 ; Conference date: 01-12-2021 Through 03-12-2021",

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TY - CONF

T1 - Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets

AU - Peersman, Claudia

AU - Pencheva, Denny

AU - Rashid, Awais

PY - 2021

Y1 - 2021

KW - Darknet

KW - Cybercriminal roles

KW - social network analysis

KW - natural language processing

KW - Conversation analysis

KW - mixed methods

U2 - 10.1109/eCrime54498.2021.9738782

DO - 10.1109/eCrime54498.2021.9738782

M3 - Conference Paper

T2 - eCrime 2021 SYMPOSIUM ON ELECTRONIC CRIME RESEARCH

Y2 - 1 December 2021 through 3 December 2021

ER -

Tokyo, Denver, Helsinki, Lisbon or the Professor? A Framework for Understanding Cybercriminal Roles in Darknet Markets

Conference

Keywords

Access to Document

Handle.net

Research output

AMoC: A Multifaceted Machine Learning-based Toolkit for Analysing Cybercriminal Communities on the Darknet

The Impact of Adverse Events in Darknet Markets: an Anomaly Detection Approach

Projects

AUTAPP (REPHRAIN): Automated Detection of Online Harms for Social Media Applications

AMoC: Advanced Modelling of Cyber Criminal Careers

Cite this