An Efficient Network Log Anomaly Detection System Using Random Projection Dimensionality Reduction.
Antti JuvonenTimo HämäläinenPublished in: NTMS (2014)
Keyphrases
- anomaly detection
- random projections
- dimensionality reduction
- network traffic
- network anomaly detection
- unsupervised learning
- detect anomalies
- intrusion detection
- anomalous behavior
- network intrusion detection
- high dimensional
- detecting anomalies
- high dimensionality
- dimension reduction
- principal component analysis
- low dimensional
- intrusion detection system
- lower dimensional
- dimensionality reduction methods
- sparse representation
- high dimensional data
- normal behavior
- pattern recognition
- feature extraction
- one class support vector machines
- data points
- feature selection
- original data
- image reconstruction
- data analysis
- feature space
- image processing
- decision trees
- support vector
- hash functions
- pairwise
- linear discriminant analysis
- singular value decomposition
- data mining