Title:	Security using AI and Looking at LLM
DNr:	Berzelius-2024-100
Project Type:	LiU Berzelius
Principal Investigator:	Ahmed Ali-Eldin Hassan <ahmed.hassan@chalmers.se>
Affiliation:	Chalmers tekniska högskola
Duration:	2024-04-01 – 2024-10-01
Classification:	10206
Homepage:	https://liu.se/en/research/resilient-information-and-control-systems
Keywords:

Abstract

This project aims to use State-of-the-art machine learning techniques for anomaly detection for IoT, edge, and cloud devices. The main aim is to train ML algorithms for online detection of anomalies. This is a hot research topic in the intersection of ML and security.