Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison.
Murat SoysalEce Guran SchmidtPublished in: Perform. Evaluation (2010)
Keyphrases
- machine learning algorithms
- network traffic
- benchmark data sets
- machine learning methods
- decision trees
- machine learning
- predictive accuracy
- learning algorithm
- intrusion detection
- machine learning approaches
- input features
- anomaly detection
- learning problems
- machine learning models
- network intrusion detection
- random forests
- multiclass classification
- internet traffic
- intrusion detection system
- traffic data
- network traffic data
- detecting anomalous
- standard machine learning algorithms
- response time
- text mining
- knowledge discovery
- support vector
- training data
- statistical machine learning