CNN-KPCA: A hybrid Convolutional Neural Network with Kernel Principal Component Analysis for Intrusion Detection System for the Internet of Things Environments.
Joseph Bamidele AwotundeRanjit PanigrahiMohit AgarwalBiswajit BrahmaAkash Kumar BhoiPublished in: SCCTT (2023)
Keyphrases
- kernel principal component analysis
- convolutional neural network
- intrusion detection system
- intrusion detection
- face detection
- principal components
- discriminant analysis
- kernel pca
- feature extraction
- kernel function
- anomaly detection
- distributed intrusion detection
- principal component analysis
- feature space
- face recognition
- preprocessing
- kernel methods
- high dimensional
- classification method
- computer systems
- kernel matrix
- neural network
- gabor wavelets
- feature vectors
- linear discriminant analysis
- dimensionality reduction
- small number of training samples
- high dimensional feature space
- data mining techniques
- object detection
- data processing
- subspace methods
- covariance matrix
- model selection
- data analysis
- low dimensional
- image processing