Ransomware Detection and Classification using Ensemble Learning: A Random Forest Tree Approach.
Shahid AnwarAbdul AhadMudassar HussainIbraheem ShayeaIvan Miguel PiresPublished in: WINCOM (2023)
Keyphrases
- random forest
- ensemble learning
- decision trees
- random subspace
- ensemble classifier
- ensemble methods
- feature set
- fold cross validation
- random forests
- generalization ability
- base classifiers
- classifier fusion
- individual classifiers
- benchmark datasets
- classification accuracy
- feature ranking
- feature extraction
- machine learning methods
- decision tree learning algorithm
- feature selection
- support vector machine svm
- machine learning algorithms
- classifier ensemble
- majority voting
- pattern recognition
- machine learning
- base learners
- naive bayes
- data sets
- text classification
- active learning
- neural network
- unsupervised learning
- image classification
- supervised learning
- feature vectors
- subspace methods
- high dimensional
- training set
- support vector
- training data