activity
20162022
most citedCharacterising Cybercriminals: A Review

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

collaborators

7 papers

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.CY2022★ 9 cited

Characterising Cybercriminals: A Review

Matthew Edwards, Emma Williams, Claudia Peersman +1

This review provides an overview of current research on the known characteristics and motivations of offenders engaging in cyber-dependent crimes. Due to the shifting dynamics of c…

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…

cs.CL2016★ 5 cited

The Effects of Age, Gender and Region on Non-standard Linguistic Variation in Online Social Networks

Claudia Peersman, Walter Daelemans, Reinhild Vandekerckhove +2

We present a corpus-based analysis of the effects of age, gender and region of origin on the production of both "netspeak" or "chatspeak" features and regional speech features in F…