Improving Classification of Metamorphic Malware by Augmenting Training Data with a Diverse Set of Evolved Mutant Samples.
Kehinde O. BabaagbaZhiyuan TanEmma HartPublished in: CEC (2020)
Keyphrases
- training data
- training set
- training samples
- decision trees
- training dataset
- classification accuracy
- supervised learning
- pattern recognition
- support vector machine
- machine learning
- classification models
- small number
- learning algorithm
- data sets
- feature set
- training process
- pattern classification
- support vector machine svm
- test data
- feature values
- unseen data
- avoid overfitting
- image set
- classification method
- classification algorithm
- text classification
- input data
- image classification
- probability distribution
- prior knowledge
- feature extraction
- feature selection