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
Prepare for Trouble and Make it Double! Supervised – Unsupervised Stacking for Anomaly-Based Intrusion Detection