An optimized ensemble prediction model using AutoML based on soft voting classifier for network intrusion detection.
Murad-Ali KhanNaeem Iqbal ImranHarun JamilDo-Hyeun KimPublished in: J. Netw. Comput. Appl. (2023)
Keyphrases
- prediction model
- network intrusion detection
- majority voting
- weighted voting
- ensemble learning
- classifier ensemble
- ensemble classifier
- anomaly detection
- intrusion detection
- voting schemes
- regression model
- network intrusion
- training data
- training set
- neural network
- fraud detection
- ensemble methods
- feature selection
- artificial immune
- network anomaly detection
- decision trees
- response surface methodology
- stepwise regression
- intrusion detection system
- weak classifiers
- support vector machine
- learning algorithm
- bp neural network
- network traffic
- random forest
- feature set
- data mining
- high dimensional
- customer churn
- feature space
- base classifiers
- ls svm
- social network analysis
- knn
- network attacks