Semi-supervised Anomaly Detection with Imbalanced Data for Failure Detection in Optical Networks.
Songlin LiuDanshi WangChunyu ZhangLingling WangMin ZhangPublished in: OFC (2021)
Keyphrases
- imbalanced data
- failure detection
- anomaly detection
- optical networks
- semi supervised
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- semi supervised learning
- class distribution
- labeled data
- svm classifier
- unlabeled data
- supervised learning
- active learning
- network traffic
- pairwise
- class imbalance
- fault detection
- linear regression
- random forest
- support vector machine
- ensemble methods
- feature selection
- classification models
- decision trees
- sampling methods
- intrusion detection system
- detect anomalies
- ensemble learning
- minority class
- link failure