Using Large Language Models for Social Cybersecurity Analyses

dc.contributor.authorCruikshank, Iain
dc.contributor.authorThomson, Robert
dc.contributor.authorBastian, Nathaniel
dc.date.accessioned2024-09-27T13:30:17Z
dc.date.available2024-09-27T13:30:17Z
dc.date.issued2023-09
dc.description.abstractFor this tech demonstration, we will demonstrate how to use open-source, freely available LLMs and Python software packages to work through a social cybersecurity workflow. Specifically, we will demonstrate how open-source LLMs can be used to do a series of tasks with social media data to understand the nature of comments in the social media space and classify those comments relative to social cybersecurity concepts.
dc.description.sponsorshipArmy Cyber Institute EECS BS&L
dc.identifier.citationCruikshank, Iain, Robert Thomson, and Nathaniel D. Bastian. "Using Large Language Models for Social Cybersecurity Analyses." In Proceedings of the IDeaS Conference, September 2023.
dc.identifier.urihttps://hdl.handle.net/20.500.14216/1541
dc.publisherIDeaS Annual Conference
dc.subjectlarge language model
dc.subjectsocial cybersecurity
dc.subjectzero-shot learning
dc.titleUsing Large Language Models for Social Cybersecurity Analyses
dc.typeConference presentations, papers, posters
local.USMAemailrobert.thomson@westpoint.edu
local.peerReviewedYes

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