Chiara Foglietta

Chiara Foglietta is a Lecturer associated with the Department of Civil, Computer and Aeronautical Engineering at Roma Tre University. Her research focuses on cybersecurity for critical infrastructure and industrial systems.

She specializes in developing advanced security solutions using machine learning, anomaly detection (particularly Kalman Filter variants), and simulation modeling (CISIApro framework). Her work addresses protection strategies for Industrial Control Systems (ICS), Cyber-Physical Systems (CPS), and interdependent critical infrastructure networks.

Recent publications demonstrate a consistent theme of enhancing infrastructure security through innovative algorithms and modeling techniques. Key contributions include anomaly detection frameworks for testbeds like Hydra, security extensions for industrial systems, and uncertainty management methods within simulation environments.