Android Malware Detection Using Parallel Machine Learning Classifiers.
Suleiman Y. YerimaSakir SezerIgor MuttikPublished in: NGMAST (2014)
Keyphrases
- malware detection
- machine learning
- machine learning algorithms
- machine learning methods
- malicious executables
- decision trees
- machine learning approaches
- anomaly detection
- feature selection
- supervised classification
- learning algorithm
- training data
- application programming interface
- pattern recognition
- naive bayes
- learning classifier systems
- support vector
- multiple classifier systems
- learning tasks
- data mining
- active learning
- computer vision
- test set
- feature set
- text mining
- text classification
- feature space
- object recognition
- supervised learning
- maximum likelihood