Anomaly Detection and Classification to enable Self-Explainability of Autonomous Systems.
Florian ZiescheVerena KlösSabine GlesnerPublished in: DATE (2021)
Keyphrases
- anomaly detection
- autonomous systems
- intrusion detection
- unsupervised learning
- detecting anomalies
- network traffic
- pattern recognition
- network anomaly detection
- intrusion detection system
- feature space
- anomalous behavior
- network intrusion detection
- machine learning
- support vector machine
- text classification
- feature extraction
- dynamic environments
- decision trees
- one class support vector machines
- negative selection algorithm
- semi supervised
- cumulative sum
- autonomous navigation
- information fusion
- support vector
- decision making
- feature selection