Classification of polymorphic and metamorphic malware samples based on their behavior.
Ksenia TsyganokEvgeny TumoyanLudmila K. BabenkoMaxim AnikeevPublished in: SIN (2012)
Keyphrases
- training samples
- pattern recognition
- feature extraction
- training set
- feature selection
- small sample
- classification algorithm
- classification systems
- support vector machine svm
- image classification
- pattern classification
- training dataset
- svm classifier
- machine learning methods
- classification models
- class labels
- classification process
- optimum path forest
- benchmark datasets
- support vector
- feature vectors
- neural network
- data sets
- malicious code
- static analysis
- decision boundary
- feature space
- multi class
- classification scheme
- automatic classification
- reverse engineering
- feature set
- text classification
- training examples
- classification method
- machine learning algorithms