DroidRL: Reinforcement Learning Driven Feature Selection for Android Malware Detection.
Yinwei WuMeijin LiJunfeng WangZhiyang FangQi ZengTao YangLuyu ChengPublished in: CoRR (2022)
Keyphrases
- malware detection
- feature selection
- reinforcement learning
- anomaly detection
- malicious executables
- text categorization
- machine learning
- application programming interface
- feature selection algorithms
- support vector
- learning algorithm
- markov decision processes
- function approximation
- classification accuracy
- feature extraction
- optimal policy
- unsupervised learning
- feature set
- model selection
- state space
- text classification
- intrusion detection
- feature subset
- high level