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With recent trends indicating cyber crimes increasing in both frequency andcost, it is imperative to develop new methods that leverage data-rich hackerforums to assist in combating ever evolving cyber threats. Defininginteractions within these forums is critical as it facilitates identifyinghighly skilled users, which can improve prediction of novel threats and futurecyber attacks. We propose a method called Next Paragraph Prediction withInstructional Prompting (NPP-IP) to predict thread structures while grounded onthe context around posts. This is the first time to apply an instructionalprompting approach to the cybersecurity domain. We evaluate our NPP-IP with theReddit dataset and Hacker Forums dataset that has posts and thread structuresof real hacker forums' threads, and compare our method's performance withexisting methods. The experimental evaluation shows that our proposed methodcan predict the thread structure significantly better than existing methodsallowing for better social network prediction based on forum interactions.

Prompt-Based Learning for Thread Structure Prediction in Cybersecurity Forums