Watching against the Unseen: AI-powered Approach to Detect Attacks on Critical Infrastructure
Domenico Lofù, Andrea Pazienza, Agostino Abbatecola, Eufemia Lella, Nicola Macchiarulo, Pietro Noviello · 2023
The increasing convergence of Operational Technology (OT) networks into Information Technology (IT) communications poses critical infrastructures to new threats that may cause huge hazards. The study of protection mechanisms and the development of security systems capable of preventing such attacks is of paramount importance nowadays. Besides formally defining the model representing the intertwining of IT and OT networks of a Chemical Industry, we prove the ability to detect different types of attacks with good results experimentally by implementing an Intrusion Detection System (IDS) based on Deep Learning (DL) that achieves an accuracy of 87, 19%.