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  KEYWORD

Area Engineering

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, Telecommunication Networks Group

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