Effective classification of android malware families through dynamic features and neural networks.
Gianni D'AngeloFrancesco PalmieriAntonio RobustelliArcangelo CastiglionePublished in: Connect. Sci. (2021)
Keyphrases
- neural network
- pattern recognition
- classification accuracy
- classification scheme
- malware detection
- support vector
- pattern classification
- benchmark datasets
- preprocessing
- support vector machine svm
- classification method
- decision trees
- automatic classification
- svm classifier
- classification algorithm
- machine learning methods
- multilayer perceptron
- neyman pearson
- machine learning
- multi layer perceptron
- static analysis
- learning vector quantization
- unsupervised learning
- image classification
- artificial neural networks
- back propagation
- active learning
- neural networks and support vector machines
- feature selection
- web pages
- feature extraction
- rule extraction
- classification process
- learning rules
- mobile devices
- support vector machine
- training process
- feature set
- classification rules
- text classification
- model selection
- machine learning algorithms