RAMD: registry-based anomaly malware detection using one-class ensemble classifiers.
Asghar TajoddinMahdi AbadiPublished in: Appl. Intell. (2019)
Keyphrases
- malware detection
- ensemble classifier
- anomaly detection
- intrusion detection
- ensemble learning
- malicious executables
- ensemble methods
- concept drift
- random forest
- fusion method
- decision trees
- preprocessing step
- support vector machine
- base classifiers
- intrusion detection system
- feature selection
- classification models
- computer security
- support vector
- learning algorithm
- data streams
- feature extraction
- probabilistic model
- multi class