Detecting the Zeus Banking Malware Using the Random Forest Binary Classification Algorithm and a Manual Feature Selection Process.
Mohamed Ali KaziSteve WoodheadDiane GanPublished in: SSCC (2019)
Keyphrases
- classification algorithm
- random forest
- feature importance
- feature set
- class labels
- decision trees
- random forests
- naive bayes
- knn
- k nearest neighbor
- training set
- support vector machine
- base classifiers
- feature vectors
- accurate classification
- multi label
- ensemble methods
- classification method
- concept drift
- feature selection
- feature extraction
- selected features
- image features
- ensemble learning
- classification accuracy
- machine learning
- decision tree learning algorithms
- prediction accuracy
- training examples
- supervised learning
- object recognition
- similarity measure