Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey.
Asaf ShabtaiRobert MoskovitchYuval EloviciChanan GlezerPublished in: Inf. Secur. Tech. Rep. (2009)
Keyphrases
- machine learning
- machine learning approaches
- support vector machine classifier
- feature set
- false positives
- extracted features
- machine learning methods
- adaboost classifier
- decision trees
- feature space
- feature ranking
- classification method
- machine learning algorithms
- discriminative classifiers
- svm classifier
- feature extraction
- feature selection
- learning algorithm
- support vector machine
- data mining
- object detection
- malicious code
- feature vectors
- training set
- detection algorithm
- haar features
- supervised classification
- classification models
- network traffic
- database
- model selection
- data management
- training data
- databases