Why is the Mahalanobis Distance Effective for Anomaly Detection?
Ryo KamoiKei KobayashiPublished in: CoRR (2020)
Keyphrases
- anomaly detection
- mahalanobis distance
- intrusion detection
- anomalous behavior
- detecting anomalies
- network anomaly detection
- network traffic
- network intrusion detection
- one class support vector machines
- detect anomalies
- intrusion detection system
- unsupervised learning
- noise model
- distance metric
- negative selection algorithm
- reinforcement learning
- euclidean distance
- principal component analysis
- supervised learning
- training set
- neural network