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With rise in security breaches over the past few years, there has been anincreasing need to mine insights from social media platforms to raise alerts ofpossible attacks in an attempt to defend conflict during competition. We useinformation from the darkweb forums by leveraging the reply network structureof user interactions with the goal of predicting enterprise cyber attacks. Weuse a suite of social network features on top of supervised learning models andvalidate them on a binary classification problem that attempts to predictwhether there would be an attack on any given day for an organization. Weconclude from our experiments using information from 53 forums in the darkwebover a span of 12 months to predict real world organization cyber attacks of 2different security events that analyzing the path structure between groups ofusers is better than just studying network centralities like Pagerank orrelying on the user posting statistics in the forums.

Predicting enterprise cyber incidents using social network analysis on the darkweb hacker forums