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20162022
most citedCharacterising Cybercriminals: A Review

9 citations · 20 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CR2022★ 1 cited

A Survey of Relevant Text Mining Technology

Claudia Peersman, Matthew Edwards, Emma Williams +1

Recent advances in text mining and natural language processing technology have enabled researchers to detect an authors identity or demographic characteristics, such as age and gen…

cs.CR2022★ 4 cited

Understanding motivations and characteristics of financially-motivated cybercriminals

Claudia Peersman, Emma Williams, Matthew Edwards +1

Background: Cyber offences, such as hacking, malware creation and distribution, and online fraud, present a substantial threat to organizations attempting to safeguard their data a…

cs.CR2022

Automatic User Profiling in Darknet Markets: a Scalability Study

Claudia Peersman, Matthew Edwards, Emma Williams +1

In this study, we investigate the scalability of state-of-the-art user profiling technologies across different online domains. More specifically, this work aims to understand the r…

cs.CR2022★ 1 cited

How darknet market users learned to worry more and love PGP: Analysis of security advice on darknet marketplaces

Andrew C. Dwyer, Joseph Hallett, Claudia Peersman +3

Darknet marketplaces, accessible through, Tor are where users can buy illicit goods, and learn to hide from law enforcement. We surveyed the advice on these markets and found valid…

cs.CR2019

Automatically Dismantling Online Dating Fraud

Guillermo Suarez-Tangil, Matthew Edwards, Claudia Peersman +3

Online romance scams are a prevalent form of mass-marketing fraud in the West, and yet few studies have addressed the technical or data-driven responses to this problem. In this ty…