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