Random Undersampling on Imbalance Time Series Data for Anomaly Detection.
Mulyana SaripuddinAzizah SulimanSera Syarmila SameonBo Nørregaard JørgensenPublished in: MLMI (2021)
Keyphrases
- anomaly detection
- class imbalance
- intrusion detection
- anomalous behavior
- detect anomalies
- detecting anomalies
- network traffic
- network intrusion detection
- intrusion detection system
- behavior analysis
- detecting anomalous
- class distribution
- computer security
- unsupervised anomaly detection
- one class support vector machines
- unsupervised learning
- computer vision
- network anomaly detection
- negative selection algorithm
- data sets
- normal behavior
- maximum likelihood
- active learning
- learning algorithm
- machine learning