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...

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Bibliographic Details
Main Author: Seah, Kai Heng
Other Authors: Hui Siu Cheung
Format: Final Year Project (FYP)
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/181182

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