Session: 3B
INTRUSION AND ANOMALY DETECTION
Presentations

SESSION CHAIR
Francesco PALMIERI
Università di Salerno

Wednesday May 3, 2023
h. 15:30-16:30

Tommaso Zoppi, Andrea Ceccarelli, Tommaso Puccetti and Andrea Bondavalli.
Which Algorithm can Detect Unknown Attacks? Comparison of Supervised, Unsupervised and Meta-Learning Algorithms for Intrusion Detection

Davide Avanzi, Stefano Longari, Mario Polino, Michele Carminati, Andrea Maria Zanchettin, Mara Tanelli and Stefano Zanero.
Task Aware Intrusion Detection for Industrial Robots

Andrea Venturi, Daniele Pellegrini, Mauro Andreolini, Luca Ferretti, Mirco Marchetti and Michele Colajanni.
Practical evaluation of Graph Neural Networks in Network Intrusion Detection

Tommaso Zoppi and Andrea Ceccarelli.
Prepare for Trouble and Make it Double! Supervised – Unsupervised Stacking for Anomaly-Based Intrusion Detection