DroidRL: Feature selection for android malware detection with reinforcement learning.
Yinwei WuMeijin LiQi ZengTao YangJunfeng WangZhiyang FangLuyu ChengPublished in: Comput. Secur. (2023)
Keyphrases
- malware detection
- reinforcement learning
- feature selection
- malicious executables
- anomaly detection
- machine learning
- text categorization
- function approximation
- feature set
- text classification
- state space
- feature selection algorithms
- optimal policy
- markov decision processes
- model free
- application programming interface
- learning algorithm
- learning process
- support vector
- feature space
- dimensionality reduction
- web applications
- supervised learning
- unsupervised learning
- software engineering
- knn
- classification accuracy
- pairwise
- training data
- feature extraction
- information systems