Détail du document
Identifiant
oai:arXiv.org:2407.13093
Sujet
Computer Science - Cryptography an...Auteur
Tseng, PeiYu Yeh, ZihDwo Dai, Xushu Liu, PengCatégorie
Computer Science
Année
2024
Date de référencement
24/07/2024
Mots clés
securityRésumé
SIEM systems are prevalent and play a critical role in a variety of analyst workflows in Security Operation Centers.
However, modern SIEMs face a big challenge: they still cannot relieve analysts from the repetitive tasks involved in analyzing CTI (Cyber Threat Intelligence) reports written in natural languages.
This project aims to develop an AI agent to replace the labor intensive repetitive tasks involved in analyzing CTI reports.
The agent exploits the revolutionary capabilities of LLMs (e.g., GPT-4), but it does not require any human intervention.
Tseng, PeiYu,Yeh, ZihDwo,Dai, Xushu,Liu, Peng, 2024, Using LLMs to Automate Threat Intelligence Analysis Workflows in Security Operation Centers
Analysis of the ICML 2023 Ranking Data: Can Authors' Opinions of Their Own Papers Assist Peer Review in Machine Learning?
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