A novel permission-based Android malware detection system using feature selection based on linear regression.
Durmus Özkan SahinOguz Emre KuralSedat AkleylekErdal KiliçPublished in: Neural Comput. Appl. (2023)
Keyphrases
- malware detection
- linear regression
- feature selection
- api calls
- least squares
- regression problems
- malicious executables
- anomaly detection
- text categorization
- regression methods
- ridge regression
- locally weighted
- nonlinear regression
- application programming interface
- linear regression model
- feature subset
- model selection
- information gain
- text classification
- feature extraction
- regression method
- multi task
- classification accuracy
- third party
- feature set
- support vector
- anti virus
- generalized linear models
- kernel density estimators