Anomaly detection of Internet traffic using robust feature selection based on kernel density estimation.
Sara Faria LealMaria Rosário de OliveiraRui ValadasPublished in: EuCNC (2015)
Keyphrases
- anomaly detection
- network traffic
- kernel density estimation
- internet traffic
- feature selection
- intrusion detection
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network security
- mean shift
- density estimation
- intrusion detection system
- unsupervised learning
- sparse pca
- detect anomalies
- one class support vector machines
- density function
- multi class
- dimensionality reduction
- text classification
- feature extraction
- knn
- object segmentation
- high dimensional
- pattern recognition
- support vector
- training data
- data mining
- model selection