A Geometric Approach to Clustering Based Anomaly Detection for Industrial Applications.
Peng LiOliver NiggemannBarbara HammerPublished in: IECON (2018)
Keyphrases
- industrial applications
- anomaly detection
- intrusion detection
- network intrusion detection
- unsupervised anomaly detection
- network traffic
- one class support vector machines
- industrial systems
- anomalous behavior
- computer security
- network anomaly detection
- detecting anomalies
- behavior analysis
- intrusion detection system
- detecting anomalous
- network security
- normal behavior
- detect anomalies
- unsupervised learning
- data mining
- malware detection
- neural network