Machine-learning-based anomaly detection in optical fiber monitoring.
Khouloud AbdelliJoo Yeon ChoFlorian AzendorfHelmut GriesserCarsten TropschugStephan PachnickePublished in: JOCN (2022)
Keyphrases
- anomaly detection
- optical fiber
- machine learning
- detect anomalies
- intrusion detection
- network anomaly detection
- high sensitivity
- anomalous behavior
- unsupervised learning
- network traffic
- intrusion detection system
- detecting anomalies
- unsupervised anomaly detection
- learning algorithm
- computer security
- data mining
- network intrusion detection
- detecting anomalous
- support vector machine
- network security
- decision trees
- computational intelligence
- active learning
- computer vision
- network intrusion
- natural language processing
- feature selection
- behavior analysis
- data analysis
- information extraction
- supervised learning
- reinforcement learning
- malware detection
- negative selection algorithm
- misuse detection
- connectionist systems