Anomaly Detection with False Alarm Rate Controllable Classifiers.
Soner Özgün PelvanBasarbatu CanHüseyin ÖzkanPublished in: SIU (2023)
Keyphrases
- anomaly detection
- false alarm rate
- one class support vector machines
- detection rate
- false alarms
- intrusion detection
- target detection
- detecting anomalies
- anomalous behavior
- training data
- network intrusion detection
- network traffic
- intrusion detection system
- network anomaly detection
- detection algorithm
- training set
- support vector
- face detection
- unsupervised learning
- false positive rate
- detect anomalies
- false positives
- decision trees
- feature selection
- negative selection algorithm
- learning algorithm
- object tracking
- remote sensing
- infrared