A Two-Layer Dimension Reduction and Two-Tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks.
Hamed Haddad PajouhReza JavidanRaouf KhayamiAli DehghantanhaKim-Kwang Raymond ChooPublished in: IEEE Trans. Emerg. Top. Comput. (2019)
Keyphrases
- dimension reduction
- feature extraction
- high dimensional problems
- singular value decomposition
- high dimensional
- principal component analysis
- linear discriminant analysis
- high dimensional data
- random projections
- feature selection
- manifold learning
- dimensionality reduction
- discriminative information
- metro ethernet
- low dimensional
- high dimensionality
- social networks
- high dimensional data analysis
- feature space
- unsupervised learning
- dimension reduction methods
- computer networks
- cluster analysis
- preprocessing
- manifold embedding
- qr decomposition
- pattern recognition
- databases