EFS-LSTM (Ensemble-Based Feature Selection With LSTM) Classifier for Intrusion Detection System.
Preethi DevanNeelu KharePublished in: Int. J. e Collab. (2020)
Keyphrases
- feature selection
- intrusion detection system
- intrusion detection
- recurrent neural networks
- ensemble learning
- network security
- ensemble classifier
- anomaly detection
- feature ranking
- feature set
- distributed intrusion detection
- feature space
- network intrusion detection
- computer networks
- feature selection and classifier
- feature subset
- network traffic
- classification models
- multiple classifiers
- feature selection algorithms
- classifier ensemble
- network intrusion detection systems
- training data
- machine learning
- attack detection
- support vector
- support vector machine
- training set
- computer systems
- text classification
- classification accuracy
- text categorization
- random forest
- dimensionality reduction
- data mining
- data mining techniques
- multi class
- learning algorithm
- neural network
- svm classifier
- model selection
- feature reduction
- network attacks
- information systems
- ensemble methods
- weak classifiers
- data analysis
- decision trees