On Real-Time and Self-Taught Anomaly Detection in Optical Networks Using Hybrid Unsupervised/Supervised Learning.
Xiaoliang ChenB. LiMohammadsadegh ShamsabardehRoberto ProiettiZuqing ZhuS. J. Ben YooPublished in: ECOC (2018)
Keyphrases
- anomaly detection
- supervised learning
- unsupervised learning
- real time
- optical networks
- unsupervised anomaly detection
- intrusion detection
- semi supervised
- anomalous behavior
- detecting anomalies
- data assimilation
- network traffic
- active learning
- network anomaly detection
- detecting anomalous
- network intrusion detection
- negative selection algorithm
- intrusion detection system
- training set
- learning algorithm
- detect anomalies
- training data
- machine learning
- dimensionality reduction
- one class support vector machines
- cumulative sum
- network security
- high dimensional
- data mining
- data sets