Supervised Anomaly Detection with Highly Imbalanced Datasets Using Capsule Networks.
Claudio PiciarelliPankaj MishraGian Luca ForestiPublished in: Int. J. Pattern Recognit. Artif. Intell. (2021)
Keyphrases
- anomaly detection
- intrusion detection
- unsupervised learning
- network traffic
- detecting anomalies
- anomalous behavior
- highly imbalanced
- network intrusion detection
- network anomaly detection
- intrusion detection system
- training dataset
- one class support vector machines
- feature selection
- data sets
- semi supervised
- class distribution
- detect anomalies
- benchmark datasets
- test data
- learning algorithm
- labeled data
- data mining applications
- imbalanced data