Large-scale nonlinear dimensionality reduction for network intrusion detection.
Yasir HamidLudovic JournauxJohn Aldo LeeLucile SautotNabi BushraM. SugumaranPublished in: ESANN (2017)
Keyphrases
- network intrusion detection
- nonlinear dimensionality reduction
- manifold learning
- intrusion detection
- anomaly detection
- high dimensional data
- dimensionality reduction
- low dimensional
- intrusion detection system
- fraud detection
- network traffic
- real world
- machine learning
- riemannian manifolds
- multi class
- databases
- computer networks
- parameter space
- high dimensional
- dimensionality reduction methods
- locally linear embedding