Detecting Android malicious apps and categorizing benign apps with ensemble of classifiers.
Wei WangYuanyuan LiXing WangJiqiang LiuXiangliang ZhangPublished in: Future Gener. Comput. Syst. (2018)
Keyphrases
- mobile apps
- mobile applications
- android platform
- mobile platforms
- android application
- ensemble learning
- detecting malicious
- training set
- mobile devices
- multiple classifiers
- ensemble classifier
- training data
- majority voting
- malware detection
- development tools
- mobile platform
- classifier ensemble
- support vector
- feature selection
- individual classifiers
- smart phones
- ensemble pruning
- combining classifiers
- final classification
- linear classifiers
- one class support vector machines
- training samples
- detect malicious
- ensemble members
- imbalanced data
- weighted voting
- m learning
- weak learners
- stream processing
- feature ranking
- combining multiple
- trained classifiers
- naive bayes
- randomized trees
- bias variance decomposition
- mobile phone
- support vector machine
- knn
- class label noise