Abstract

The Dark Web has always been a domain of interest for cybersecurity researchers looking to gain insight into emerging cybercriminal activities such as the sharing of illegal content, scams, malware, etc. As studies on the Dark Web commonly require textual analysis of the domain, language models specific to the Dark Web may provide valuable insights to researchers. In this talk, we begin with a brief introduction to the Dark Web, followed by analysis of the Dark Web text using NLP techniques to uncover some characteristics of how language might be used in the Dark Web. We then introduce DarkBERT, a language model pretrained on Dark Web data, and illustrate the benefits that a Dark Web domain specific model like DarkBERT can offer in various use cases.

RECORDING : Please note, this event will be recorded and will be available after the event for an indeterminate period under a CC BY -NC-ND license. Audience members should bear this in mind before joining the webinar or asking questions.