Network attack classification using LSTM with XGBoost feature selection.
R. PoornimaMohanraj ElangovanG. NagarajanPublished in: J. Intell. Fuzzy Syst. (2022)
Keyphrases
- feature selection
- classification accuracy
- support vector
- feature space
- feature extraction
- classification models
- support vector machine
- text classification
- unsupervised learning
- feature set
- pattern recognition
- machine learning
- irrelevant features
- high dimensionality
- discriminative features
- feature selection algorithms
- feature subset
- method for feature selection
- network traffic
- feature selection and classification
- computer networks
- mutual information
- data pre processing
- bayes classifier
- classification algorithm
- conditional mutual information
- decision trees
- classification performances
- feature vectors
- accurate classification
- instance selection
- supervised learning
- selected features
- image classification
- model selection
- text categorization
- fold cross validation
- small sample
- feature weighting
- ensemble classifier
- cyber attacks
- class separability
- dimensionality reduction
- classification method
- support vector classification