A boosting ensemble for the recognition of code sharing in malware.
Stanley J. BarrSamuel J. CardmanDavid M. MartinPublished in: J. Comput. Virol. (2008)
Keyphrases
- ensemble methods
- ensemble learning
- malicious code
- base classifiers
- static analysis
- weak learners
- recognition accuracy
- learning algorithm
- source code
- automatic recognition
- ensemble classification
- object recognition
- recognition rate
- neural network
- weak classifiers
- recognition algorithm
- feature selection
- feature extraction
- information sharing
- generalization ability
- majority voting
- pattern recognition
- cost sensitive
- randomized trees
- ensemble classifier
- recognition process
- training set
- prediction accuracy
- benchmark datasets
- training samples
- generalization error
- base learners
- classifier ensemble
- training data
- action recognition
- human activities
- decision tree ensembles