Using anomaly detection to support classification of fast running (packaging) processes.
Tilman KlaegerAndre SchultLukas OehmPublished in: CoRR (2019)
Keyphrases
- anomaly detection
- intrusion detection
- novelty detection
- unsupervised learning
- network intrusion detection
- computer security
- anomalous behavior
- pattern recognition
- detecting anomalies
- network traffic
- decision trees
- behavior analysis
- unsupervised anomaly detection
- detect anomalies
- pattern classification
- feature vectors
- support vector
- one class support vector machines
- network anomaly detection
- detecting anomalous
- network security
- text classification
- network intrusion
- intrusion detection system
- support vector machine
- malware detection
- training data
- feature selection