Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems
Alessandro Erba, Riccardo Taormina, Stefano Galelli, Marcello Pogliani, Michele Carminati, Stefano Zanero, Nils Ole Tippenhauer
Abstract
Recently, reconstruction-based anomaly detection was proposed as an effective technique to detect attacks in dynamic industrial control networks. Unlike classical network anomaly detectors that observe the network traffic, reconstruction-based detectors operate on the measured sensor data, leveraging physical process models learned a priori.
Topics & Concepts
Anomaly detectionDetectorIndustrial control systemComputer scienceProcess (computing)Anomaly (physics)Process controlControl (management)Real-time computingControl systemEngineeringArtificial intelligenceKey (lock)Control networkIntrusion detection systemSmart Grid Security and ResilienceAdversarial Robustness in Machine LearningAnomaly Detection Techniques and Applications