Event extraction for cybersecurity using large language models
This project studies and compares the efficiency of different Large Language Models (LLMs) for the extraction of cybersecurity events. Cybersecurity event extraction is a critical task in Cyber Threat Intelligence, it is aimed at identifying and categorizing incidents such as data breaches, malware...
Main Author: | Seah, Kai Heng |
---|---|
Other Authors: | Hui Siu Cheung |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2024
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/181182 |
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