Impact of sample size on false alarm and missed detection rates in PCA-based anomaly detection.
Ni AnSteven WeberPublished in: CISS (2017)
Keyphrases
- anomaly detection
- sample size
- detection rate
- false alarms
- false alarm rate
- face detection
- detection algorithm
- false positives
- number of false alarms
- intrusion detection
- false positive rate
- model selection
- detecting anomalies
- anomalous behavior
- target detection
- upper bound
- detection accuracy
- network intrusion detection
- computational cost
- network anomaly detection
- intrusion detection system
- network traffic
- network security
- worst case
- unsupervised learning
- one class support vector machines
- principal component analysis
- progressive sampling
- detection method
- object detection
- pairwise
- training set