Using Large Language Models for Social Cybersecurity Analyses
dc.contributor.author | Cruikshank, Iain | |
dc.contributor.author | Thomson, Robert | |
dc.contributor.author | Bastian, Nathaniel | |
dc.date.accessioned | 2024-09-27T13:30:17Z | |
dc.date.available | 2024-09-27T13:30:17Z | |
dc.date.issued | 2023-09 | |
dc.description.abstract | For 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.sponsorship | Army Cyber Institute EECS BS&L | |
dc.identifier.citation | Cruikshank, 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.uri | https://hdl.handle.net/20.500.14216/1541 | |
dc.publisher | IDeaS Annual Conference | |
dc.subject | large language model | |
dc.subject | social cybersecurity | |
dc.subject | zero-shot learning | |
dc.title | Using Large Language Models for Social Cybersecurity Analyses | |
dc.type | Conference presentations, papers, posters | |
local.USMAemail | robert.thomson@westpoint.edu | |
local.peerReviewed | Yes |
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