A VaDE-based latent clustering detector that drops reconstruction wins a fair, difficulty-stratified anomaly detection protocol on three CPS datasets, with margins tracking dataset multimodality.
In: 2016 International Workshop on Cyber-physical Systems for Smart Water Networks (CySWater)
2 Pith papers cite this work. Polarity classification is still indexing.
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Behavioral mapping of ICS attacks reveals dataset-specific physical patterns and shows binary evaluation metrics substantially overestimate detection performance.
citing papers explorer
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Modeling Normal Is All You Need: Joint Latent Clustering for Anomaly Detection in Multimodal Cyber-Physical Systems
A VaDE-based latent clustering detector that drops reconstruction wins a fair, difficulty-stratified anomaly detection protocol on three CPS datasets, with margins tracking dataset multimodality.
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Between Zeros and Ones: Behavioral Characterization Beyond Binary Labeling Across Public ICS Datasets
Behavioral mapping of ICS attacks reveals dataset-specific physical patterns and shows binary evaluation metrics substantially overestimate detection performance.