Mobile Malware Detection with Imbalanced Data using a Novel Synthetic Oversampling Strategy and Deep Learning.
Mahbub E. KhodaJoarder KamruzzamanIqbal GondalTasadduq ImamAshfaqur RahmanPublished in: WiMob (2020)
Keyphrases
- deep learning
- imbalanced data
- malware detection
- class imbalance
- unsupervised learning
- minority class
- machine learning
- anomaly detection
- sampling methods
- decision trees
- class distribution
- weakly supervised
- support vector machine
- ensemble methods
- feature selection
- active learning
- linear regression
- classification models
- mental models
- pattern recognition
- original data
- maximum likelihood
- training data
- clustering algorithm
- learning algorithm