An approach to spacecraft anomaly detection problem using kernel feature space.
Ryohei FujimakiTakehisa YairiKazuo MachidaPublished in: KDD (2005)
Keyphrases
- anomaly detection
- feature space
- kernel function
- intrusion detection
- kernel methods
- input space
- network intrusion detection
- detecting anomalies
- network traffic
- feature vectors
- intrusion detection system
- anomalous behavior
- kernel matrix
- high dimensional feature space
- behavior analysis
- computer security
- high dimensional
- network anomaly detection
- feature selection
- detecting anomalous
- data points
- dimensionality reduction
- kernel pca
- detect anomalies
- unsupervised anomaly detection
- principal component analysis
- mean shift
- one class support vector machines
- support vector machine
- data mining
- feature extraction
- malware detection
- cumulative sum
- face recognition
- support vector
- semi supervised
- input data