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Automatic User Profiling in Darknet Markets: a Scalability Study. (arXiv:2203.13179v1 [cs.CR])
March 25, 2022, 1:20 a.m. | Claudia Peersman, Matthew Edwards, Emma Williams, Awais Rashid
cs.CR updates on arXiv.org arxiv.org
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 reliability and limitations of current
computational stylometry approaches when these are applied to underground fora
in which user populations potentially differ from other online platforms
(predominantly male, younger age and greater computer use) and cyber offenders
who attempt to hide their identity. Because no ground truth is available and no
validated criminal data from historic investigations …
More from arxiv.org / cs.CR updates on arXiv.org
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