Robust Statistics-based Anomaly Detection in a Steel Industry.
Antonio AcerneseKisan SardaVittorio NolèLeonardo ManfrediLuca GrecoLuigi GlielmoCarmen Del VecchioPublished in: MED (2021)
Keyphrases
- anomaly detection
- robust statistics
- steel industry
- shape from shading
- intrusion detection
- robust estimation
- optical flow
- network intrusion detection
- detecting anomalies
- anisotropic diffusion
- listed companies
- risk minimization
- network traffic
- unsupervised learning
- intrusion detection system
- one class support vector machines
- detect anomalies
- negative selection algorithm
- network security
- anomalous behavior
- partial differential equations
- active learning
- feature extraction
- data mining