A novel approach for mobile malware classification and detection in Android systems.
Qingguo ZhouFang FengZebang ShenRui ZhouMeng-Yen HsiehKuan-Ching LiPublished in: Multim. Tools Appl. (2019)
Keyphrases
- classification systems
- mobile devices
- malware detection
- false positives
- classification accuracy
- decision trees
- supervised learning
- feature extraction
- automatic classification
- classification scheme
- mobile applications
- support vector
- detection method
- image classification
- feature vectors
- pattern recognition
- robust detection
- management system
- classification models
- pattern classification
- automatic detection
- classification method
- classification algorithm
- anomaly detection
- mobile networks
- neyman pearson
- detect malicious
- autonomous mobile
- mobile platform
- machine learning
- smart phones
- false alarms
- mobile learning
- support vector machine svm
- context aware
- mobile phone
- text classification
- distributed systems
- object detection
- support vector machine