Machine Learning for Real-Time Anomaly Detection in Optical Networks.
Sadananda BeheraTania PanayiotouGeorgios EllinasPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- machine learning
- real time
- optical networks
- intrusion detection
- network anomaly detection
- detecting anomalies
- intrusion detection system
- network intrusion detection
- unsupervised learning
- anomalous behavior
- network traffic
- one class support vector machines
- detecting anomalous
- data assimilation
- model selection
- active learning
- negative selection algorithm
- feature selection
- learning algorithm
- data mining
- detect anomalies
- network security
- image segmentation
- computer vision
- quality of service
- support vector machine
- data analysis
- cumulative sum
- wavelength division multiplexing