Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks.
Tung-Anh NguyenJiayu HeLong Tan LeWei BaoNguyen Hoang TranPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- grassmann manifold
- principal component analysis
- intrusion detection
- anomalous behavior
- detecting anomalies
- network intrusion detection
- intrusion detection system
- nearest neighbor classifier
- network anomaly detection
- sparse pca
- one class support vector machines
- stochastic gradient
- detect anomalies
- face images
- network traffic
- subspace learning
- linear subspace
- face recognition
- component analysis
- principle component analysis
- data mining
- unsupervised learning
- dimensionality reduction
- neural network
- convergence rate
- independent component analysis
- k means
- training data
- feature extraction
- image processing