A cascaded classifier approach for improving detection rates on rare attack categories in network intrusion detection.
Kok-Chin KhorChoo-Yee TingSomnuk Phon-AmnuaisukPublished in: Appl. Intell. (2012)
Keyphrases
- network intrusion detection
- detection rate
- face detection
- network intrusion
- high detection rate
- intrusion detection
- network attacks
- network anomaly detection
- adaboost algorithm
- anomaly detection
- false positive rate
- network intrusions
- low false alarm rate
- detection algorithm
- false positives
- false alarms
- object detection
- artificial immune
- fraud detection
- training data
- lower false positive rate
- detection method
- false alarm rate
- intrusion detection system
- network traffic
- object categories
- face recognition
- computer vision
- skin color
- feature space
- network security
- alert correlation
- class labels
- training samples
- feature set
- decision trees
- feature selection
- data sets
- recognition rate
- multi class
- knn
- data streams
- support vector
- image sequences
- learning algorithm