LLM-Based Cyberattack Detection Using Network Flow Statistics
Cybersecurity is a growing area of research due to the constantly emerging new types of cyberthreats. Tools and techniques exist to keep systems secure against certain known types of cyberattacks, but are insufficient for others that have recently appeared. Therefore, research is needed to design ne...
Saved in:
| Main Authors: | Leopoldo Gutiérrez-Galeano, Juan-José Domínguez-Jiménez, Jörg Schäfer, Inmaculada Medina-Bulo |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/12/6529 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Harnessing the power of language models in cybersecurity: A comprehensive review
by: Ramanpreet Kaur, et al.
Published: (2025-06-01) -
SecureLLM: A Unified Framework for Privacy-Focused Large Language Models
by: Konstantinos Kalodanis, et al.
Published: (2025-04-01) -
PharmaLLM: A Medicine Prescriber Chatbot Exploiting Open-Source Large Language Models
by: Ayesha Azam, et al.
Published: (2024-11-01) -
GeoFactory: an LLM performance enhancement framework for geoscience factual and inferential tasks
by: Zhou Chen, et al.
Published: (2025-05-01) -
Intelligent Virtual Assistant for Calculating Technology Readiness Levels Using Large Language Models (LLM)
by: Juan Betancourt, et al.
Published: (2025-01-01)