Document detail
ID
oai:arXiv.org:2407.13093
Topic
Computer Science - Cryptography an...Author
Tseng, PeiYu Yeh, ZihDwo Dai, Xushu Liu, PengCategory
Computer Science
Year
2024
listing date
7/24/2024
Keywords
securityAbstract
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
TurkishMMLU: Measuring Massive Multitask Language Understanding in Turkish
evaluate provide turkishmmlu questions language
The Measurement of Acculturation in Neuropsychological Evaluations of Hispanic/Latino Individuals across the Lifespan: A Scoping Review of the Literature
evidence review lifespan various validation acculturation measures
