Anomaly Detection Using Autoencoders with Nonlinear Dimensionality Reduction.
Mayu SakuradaTakehisa YairiPublished in: MLSDA@PRICAI (2014)
Keyphrases
- anomaly detection
- nonlinear dimensionality reduction
- manifold learning
- dimensionality reduction
- intrusion detection
- detecting anomalies
- network intrusion detection
- low dimensional
- high dimensional data
- anomalous behavior
- network traffic
- intrusion detection system
- riemannian manifolds
- unsupervised learning
- locally linear embedding
- network anomaly detection
- negative selection algorithm
- dimensionality reduction methods
- machine learning
- dimension reduction
- cluster analysis
- similarity measure
- decision trees
- one class support vector machines
- feature selection