An ensemble approach to anomaly detection using high- and low-variance principal components.
Jeong-Hyeon MoonJun-Hyung YuKyung-Ah SohnPublished in: Comput. Electr. Eng. (2022)
Keyphrases
- anomaly detection
- principal components
- correlation coefficient
- maximum variance
- covariance matrix
- principal component analysis
- intrusion detection
- network intrusion detection
- detecting anomalies
- dimensionality reduction
- anomalous behavior
- detecting anomalous
- intrusion detection system
- network anomaly detection
- unsupervised learning
- unsupervised anomaly detection
- network traffic
- feature set
- detect anomalies
- one class support vector machines
- connectionist systems
- network security
- independent components
- data sets
- network intrusion
- image processing