Time series forecasting with model selection applied to anomaly detection in network traffic.
Lukasz SaganowskiTomasz AndrysiakPublished in: Log. J. IGPL (2020)
Keyphrases
- anomaly detection
- network traffic
- model selection
- intrusion detection
- cross validation
- unsupervised learning
- detecting anomalous
- intrusion detection system
- network intrusion detection
- detecting anomalies
- bayesian learning
- network intrusion
- network security
- traffic data
- model selection criteria
- parameter estimation
- anomalous behavior
- detect anomalies
- computer networks
- negative selection algorithm
- feature selection
- selection criterion
- non stationary
- machine learning
- normal traffic
- one class support vector machines
- normal behavior
- traffic patterns
- computer vision