Time-series Anomaly Detection based on Difference Subspace between Signal Subspaces.
Takumi KanaiNaoya SogiAtsuto MakiKazuhiro FukuiPublished in: CoRR (2023)
Keyphrases
- anomaly detection
- detect anomalies
- linear subspace
- low dimensional
- high dimensional data
- subspace clusters
- non stationary
- lower dimensional
- principal component analysis
- intrusion detection
- grassmann manifold
- high dimensional
- low rank representation
- subspace clustering
- detecting anomalies
- feature space
- network traffic
- network intrusion detection
- anomalous behavior
- unsupervised anomaly detection
- network security
- network anomaly detection
- detecting anomalous
- intrusion detection system
- computer security
- malware detection
- dimensionality reduction
- one class support vector machines
- face recognition
- behavior analysis
- feature extraction
- data points
- reinforcement learning
- decision trees
- connectionist systems
- data sets