Network Intrusion Detection based of Semi-Supervised Ensemble Learning Algorithm for Imbalanced Data.
Zhang LinPublished in: NaNA (2021)
Keyphrases
- imbalanced data
- network intrusion detection
- semi supervised
- learning algorithm
- unlabeled data
- class distribution
- active learning
- labeled data
- ensemble methods
- supervised learning
- ensemble learning
- anomaly detection
- intrusion detection
- class imbalance
- semi supervised learning
- linear regression
- base learners
- fraud detection
- random forest
- training data
- support vector machine
- ensemble classifier
- generalization ability
- training examples
- intrusion detection system
- svm classifier
- machine learning
- class labels
- sampling methods
- feature selection
- learning tasks
- unsupervised learning
- classification models
- decision trees
- pairwise
- decision boundary
- machine learning algorithms
- learning process
- reinforcement learning
- minority class
- text categorization
- random forests
- training set
- machine learning methods
- prediction accuracy
- similarity measure
- feature space
- feature vectors
- data points