Federated PCA on Grassmann Manifold for IoT Anomaly Detection.
Tung-Anh NguyenLong Tan LeTuan Dung NguyenWei BaoSuranga SeneviratneChoong Seon HongNguyen Hoang TranPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- grassmann manifold
- principal component analysis
- subspace learning
- linear subspace
- stochastic gradient
- dimensionality reduction
- sparse pca
- intrusion detection
- nearest neighbor classifier
- component analysis
- image set
- anomalous behavior
- detecting anomalies
- network intrusion detection
- principle component analysis
- network traffic
- face recognition
- principal components
- face images
- independent component analysis
- low dimensional
- dimension reduction
- unsupervised learning
- high dimensional
- one class support vector machines
- negative selection algorithm
- feature space
- feature extraction
- detect anomalies
- intrusion detection system
- nearest neighbor
- optical flow
- feature vectors
- pattern recognition
- training data
- network anomaly detection