Adaptive framework for network traffic classification using dimensionality reduction and clustering.
Antti JuvonenTuomo SipolaPublished in: ICUMT (2012)
Keyphrases
- network traffic
- dimensionality reduction
- high dimensionality
- pattern recognition and machine learning
- anomaly detection
- pattern recognition
- unsupervised learning
- feature extraction
- feature selection
- computer networks
- intrusion detection
- text classification
- intrusion detection system
- clustering algorithm
- network security
- network management
- traffic analysis
- traffic data
- data sets
- detecting anomalous
- network resources
- high dimensional data
- non stationary
- feature space
- decision trees