Feature selection and ensemble of classifiers for Android malware detection.
Lilian D. Coronado-De-AlbaAbraham Rodriguez-MotaPonciano Jorge Escamilla-AmbrosioPublished in: LATINCOM (2016)
Keyphrases
- malware detection
- feature selection
- ensemble classifier
- ensemble learning
- feature ranking
- feature set
- ensemble classification
- malicious executables
- anomaly detection
- feature selection algorithms
- support vector
- feature subset
- classifier ensemble
- text categorization
- ensemble pruning
- classification models
- multiple classifiers
- classification accuracy
- imbalanced data
- text classification
- application programming interface
- ensemble methods
- support vector machine
- majority voting
- random forest
- naive bayes
- training data
- feature selection and classifier
- training set
- multi class
- small sample
- wrapper feature selection
- dimensionality reduction
- knn
- feature space
- class imbalance
- model selection
- decision stumps
- feature extraction
- base classifiers
- individual classifiers
- intrusion detection
- individual features
- unsupervised learning
- ensemble members
- machine learning