RT Conference Proceedings
T1 Characterizing eve: analysing cybercrime actors in a large underground forum
A1 Pastrana Portillo, Sergio
A1 Hutchings, Alice
A1 Caines, Andrew
A1 Buttery, Paula
AB Underground forums contain many thousands of active users, but the vast majority will be involved, at most, in minor levels of deviance. The number who engage in serious criminal activity is small. That being said, underground forums have played a significant role in several recent high-profile cybercrime activities. In this work we apply data science approaches to understand criminal pathways and characterize key actors related to illegal activity in one of the largest and longest-running underground forums. We combine the results of a logistic regression model with k-means clustering and social network analysis, verifying the findings using topic analysis. We identify variables relating to forum activity that predict the likelihood a user will become an actor of interest to law enforcement, and would therefore benefit the most from intervention. This work provides the first step towards identifying ways to deter the involvement of young people away from a career in cybercrime.
PB Springer
SN 978-3-030-00469-9
YR 2018
FD 2018-09-10
LK https://hdl.handle.net/10016/34373
UL https://hdl.handle.net/10016/34373
LA eng
NO This work was supported by The Alan Turing Institute’s Defence and Security Programme [grant DS/SDS/1718/4]; and the UK Engineering and Physical Sciences Research Council (EPSRC) [grant EP/M020320/1].
DS e-Archivo
RD 30 jun. 2024