Fusion of linear and non-linear dimensionality reduction techniques for feature reduction in LSTM-based Intrusion Detection System.
Ankit ThakkarNandish KikaniRebekah GeddamPublished in: Appl. Soft Comput. (2024)
Keyphrases
- intrusion detection system
- feature reduction
- dimensionality reduction
- linear discriminant analysis
- intrusion detection
- principal component analysis
- feature selection
- attack detection
- feature extraction
- network security
- rough sets
- anomaly detection
- distributed intrusion detection
- text categorization
- feature set
- high dimensional data
- unsupervised learning
- low dimensional
- reduction method
- high dimensional
- random forest
- feature space
- computer systems
- classification accuracy
- recurrent neural networks
- pattern recognition
- texture segmentation
- text classification
- support vector machine
- knn
- data points
- k nearest neighbor
- rough set theory
- prediction accuracy
- classification algorithm
- viterbi algorithm
- supervised learning
- face recognition