Intelligent Vision-Based Malware Detection and Classification Using Deep Random Forest Paradigm.
S. Abijah RoselineS. GeethaSeifedine Nimer KadryYunyoung NamPublished in: IEEE Access (2020)
Keyphrases
- random forest
- decision trees
- malware detection
- fold cross validation
- feature set
- cancer classification
- random forests
- decision tree learning algorithms
- pattern recognition
- classification accuracy
- ensemble methods
- feature importance
- image classification
- text classification
- ensemble classifier
- malicious executables
- machine learning
- classification models
- multi label
- feature selection
- class labels
- support vector machine
- machine learning methods
- svm classifier
- logistic regression
- support vector machine svm
- feature vectors
- training set
- feature extraction
- data sets