Detection and Classification of Traffic Anomalies Using Microscopic Traffic Variables.
Javier A. BarriaSuttipong ThajchayapongPublished in: IEEE Trans. Intell. Transp. Syst. (2011)
Keyphrases
- anomaly detection
- network traffic
- traffic flow
- classification accuracy
- real time
- detect anomalies
- pattern recognition
- correct classification
- traffic conditions
- machine learning
- neyman pearson
- traffic congestion
- classification scheme
- detection rate
- detection method
- intrusion detection
- classification algorithm
- vehicle detection and tracking
- variable selection
- automatic classification
- feature selection
- support vector
- image analysis
- robust detection
- worm detection
- decision rules
- network attacks
- traffic surveillance
- traffic engineering
- dos attacks
- support vector machine
- supervised learning
- classification models
- class labels
- cross validation