Spectrum Anomaly Detection for Optical Network Monitoring Using Deep Unsupervised Learning.
Carlos NatalinoAleksejs UdalcovsLena WosinskaOskars OzolinsMarija FurdekPublished in: IEEE Commun. Lett. (2021)
Keyphrases
- anomaly detection
- network monitoring
- unsupervised learning
- network traffic
- streaming data
- network security
- intrusion detection
- computer networks
- intrusion detection system
- network management
- supervised learning
- ip networks
- network intrusion detection
- monitoring system
- semi supervised
- object recognition
- detecting anomalies
- dimensionality reduction
- anomalous behavior
- text classification
- data aggregation
- one class support vector machines
- expectation maximization
- feature selection
- network resources
- detect anomalies
- network anomaly detection
- machine learning
- active learning
- data mining