Application of optimal clustering and metric learning to patch-based anomaly detection.
Jae-Young AhnGyeonghwan KimPublished in: Pattern Recognit. Lett. (2022)
Keyphrases
- anomaly detection
- metric learning
- intrusion detection
- detecting anomalies
- network intrusion detection
- distance metric
- anomalous behavior
- network traffic
- intrusion detection system
- semi supervised clustering
- distance function
- clustering algorithm
- semi supervised
- dimensionality reduction
- unsupervised learning
- pairwise
- distance metric learning
- clustering method
- negative selection algorithm
- data sets
- detect anomalies
- network anomaly detection
- one class support vector machines
- learning tasks
- labeled data
- principal component analysis
- image segmentation
- machine learning