Genetic boosting classification for malware detection.
Alejandro MartínHéctor D. MenéndezDavid CamachoPublished in: CEC (2016)
Keyphrases
- malware detection
- classification accuracy
- machine learning
- pattern recognition
- malicious executables
- machine learning methods
- genetic algorithm
- anomaly detection
- feature selection
- support vector
- feature vectors
- cost sensitive
- learning algorithm
- support vector machine svm
- weak learners
- reinforcement learning
- training data
- supervised learning
- unsupervised learning
- training set
- benchmark datasets
- class labels
- feature space