| KEYWORD |
Machine Learning for Automated Network Security Log Analysis
keywords CYBERSECURITY, DATA SCIENCE, LANGUAGE MODELS, MACHINE LEARNING, NETWORKS, NLP
Reference persons MARCO MELLIA, LUCA VASSIO
Research Groups DATABASE AND DATA MINING GROUP - DBDM, SmartData@PoliTO, TNG
Description 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.
Required skills - Good programming skills (such as Python and Spark)
- Machine Learning knowledge (such as Torch, Tensorflow)
- Basics of NLP
- Basics of Networking and security
Notes Possible graduation prize of 2000 euros.
A GPA of at least 27/30 is requested.
Deadline 12/01/2025
PROPONI LA TUA CANDIDATURA