Anomaly Detection with Self-Organizing Maps and Effects of Principal Component Analysis on Feature Vectors.
Tevfik KizilorenEmin GermenPublished in: ICNC (2) (2009)
Keyphrases
- anomaly detection
- self organizing maps
- network anomaly detection
- feature vectors
- principal component analysis
- unsupervised learning
- face images
- intrusion detection
- feature space
- feature extraction
- network intrusion detection
- neural network
- dimensionality reduction
- detecting anomalies
- principal components
- anomalous behavior
- one class support vector machines
- intrusion detection system
- input data
- network traffic
- tensor analysis
- dimension reduction
- negative selection algorithm
- support vector machine
- face recognition
- learning algorithm
- sparse pca
- model selection
- k means
- pattern recognition
- bayesian networks
- decision trees
- machine learning