Federated PCA on Grassmann Manifold for Anomaly Detection in IoT Networks.
Tung-Anh NguyenJiayu HeLong Tan LeWei BaoNguyen Hoang TranPublished in: INFOCOM (2023)
Keyphrases
- anomaly detection
- grassmann manifold
- principal component analysis
- intrusion detection
- anomalous behavior
- detect anomalies
- stochastic gradient
- detecting anomalies
- subspace learning
- network intrusion detection
- network traffic
- sparse pca
- intrusion detection system
- dimensionality reduction
- one class support vector machines
- component analysis
- nearest neighbor
- network anomaly detection
- face recognition
- negative selection algorithm
- principal components
- nearest neighbor classifier
- linear subspace
- unsupervised learning
- high dimensional
- principle component analysis
- image set
- knn
- active learning
- k means
- feature vectors