A data-driven metric learning-based scheme for unsupervised network anomaly detection.
Roya AliakbarisaniAbdorasoul GhasemiShyhtsun Felix WuPublished in: Comput. Electr. Eng. (2019)
Keyphrases
- metric learning
- data driven
- network anomaly detection
- semi supervised
- distance metric
- distance metric learning
- pairwise
- multi task
- anomaly detection
- network intrusion detection
- semi supervised learning
- dimensionality reduction
- learning tasks
- fully supervised
- feature space
- feature selection
- mahalanobis metric
- self organizing maps
- distance function
- unsupervised learning
- supervised learning
- learning scheme
- intrusion detection
- labeled data
- data mining