A Concept Drift Detection Approach Based on Jensen-Shannon Divergence for Network Traffic Classification.
Wujun YangRui SuYuanzheng ChengJuan GuoPublished in: AIPR (2022)
Keyphrases
- network traffic
- jensen shannon divergence
- intrusion detection
- pattern recognition
- intrusion detection system
- feature selection
- drift detection
- anomaly detection
- network intrusion detection
- text classification
- feature vectors
- classification accuracy
- support vector machine
- decision trees
- machine learning
- classification algorithm
- traffic data
- supervised learning
- class labels
- machine learning algorithms
- information theoretic
- feature space
- support vector
- training set
- selection criterion
- data management
- mutual information
- normal traffic