Anomaly detection in Industrial Control Networks
2015-2016/I.
Dr. Holczer Tamás
Industrial control systems can control power plants, power grids or production in factories. More and more attacks are aimed at these systems. Most of the attacks are coming from the network, where the attack causes some anomalies. The task of the student is to develop different anomaly detection techniques (based on strange measured values, modified correlation values, uncommon communication patterns etc.) which can effectively detect the attacks.
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