| KEYWORD |
Machine Learning for Automated Network Security Log Analysis
Parole chiave CYBERSECURITY, DATA SCIENCE, LANGUAGE MODELS, MACHINE LEARNING, NETWORKS, NLP
Riferimenti MARCO MELLIA, LUCA VASSIO
Gruppi di ricerca DATABASE AND DATA MINING GROUP - DBDM, SmartData@PoliTO, TNG
Descrizione Network security analysts are a key component of the defence infrastructure of an organization. They continuously and manually analyze security alarms and logs to make decisions against undesired intrusions.
Language Models (LMs) from Machine Learning demonstrated huge potential in processing texts. The research will investigate and evaluate the capabilities of LLM agents in automating the manual investigations of the security analyst. This would assist them in analysis and incident reporting.
Conoscenze richieste - Good programming skills (such as Python and Spark)
- Machine Learning knowledge (such as Torch, Tensorflow)
- Basics of NLP
- Basics of Networking and security
Note Possible graduation prize of 2000 euros.
A GPA of at least 27/30 is requested.
Scadenza validita proposta 12/01/2025
PROPONI LA TUA CANDIDATURA