A Semi-supervised Learning Approach for High Dimensional Android Malware Classification.
Qiao ShangNi LiQi QiXiao-Wei LinPublished in: CSS (2020)
Keyphrases
- high dimensional
- malware detection
- feature space
- feature extraction
- classification accuracy
- high dimensionality
- low dimensional
- classification method
- image classification
- dimensionality reduction
- support vector
- dimension reduction
- pattern recognition
- feature selection
- classification process
- classification systems
- automatic classification
- machine learning methods
- machine learning
- unsupervised learning
- classification algorithm
- data points
- training samples
- intrusion detection
- mobile devices
- feature vectors
- supervised learning
- nearest neighbor
- class labels
- multi dimensional
- input space
- classification models
- classification scheme
- semi supervised
- small sample size
- multi class