Autoencoder-based deep metric learning for network intrusion detection.
Giuseppina AndresiniAnnalisa AppiceDonato MalerbaPublished in: Inf. Sci. (2021)
Keyphrases
- network intrusion detection
- metric learning
- distance metric
- intrusion detection
- network intrusion
- distance metric learning
- anomaly detection
- pairwise
- fraud detection
- semi supervised
- dimensionality reduction
- multi task
- intrusion detection system
- learning tasks
- distance function
- feature space
- network traffic
- mahalanobis metric
- semi supervised learning
- background knowledge
- computer systems
- supervised learning
- pattern recognition
- similarity measure
- image segmentation
- learning algorithm