Network traffic anomaly detection using machine learning approaches.
Kriangkrai LimthongThidarat TawsookPublished in: NOMS (2012)
Keyphrases
- data processing
- machine learning approaches
- anomaly detection
- network traffic
- intrusion detection
- network intrusion detection
- intrusion detection system
- machine learning
- network security
- machine learning methods
- machine learning algorithms
- detecting anomalous
- detecting anomalies
- computer networks
- anomalous behavior
- internet traffic
- detect anomalies
- unsupervised learning
- network anomaly detection
- traffic data
- negative selection algorithm
- traffic patterns
- traffic analysis
- streaming data
- information security
- normal traffic
- one class support vector machines
- long range dependence
- model selection
- knowledge discovery
- training set
- pattern recognition
- information systems
- information retrieval