Machine Learning-based Anomaly Detection in Optical Fiber Monitoring.
Khouloud AbdelliJoo Yeon ChoFlorian AzendorfHelmut GriesserCarsten TropschugStephan PachnickePublished in: CoRR (2022)
Keyphrases
- anomaly detection
- optical fiber
- machine learning
- detect anomalies
- network anomaly detection
- intrusion detection
- high sensitivity
- detecting anomalies
- anomalous behavior
- network intrusion detection
- unsupervised learning
- computer security
- unsupervised anomaly detection
- network traffic
- intrusion detection system
- pattern recognition
- data mining
- network security
- abnormal events
- one class support vector machines
- decision trees
- negative selection algorithm
- supervised learning
- feature selection
- behavior analysis
- text mining
- detecting anomalous
- model selection
- reinforcement learning
- genetic algorithm
- knowledge discovery
- computer vision
- data analysis
- high dimensional
- image segmentation
- self organizing maps
- natural language processing
- text classification