MalFCS: An effective malware classification framework with automated feature extraction based on deep convolutional neural networks.
Guoqing XiaoJingning LiYuedan ChenKenli LiPublished in: J. Parallel Distributed Comput. (2020)
Keyphrases
- feature extraction
- feature vectors
- pattern classification
- feature space
- pattern recognition
- image classification
- preprocessing
- support vector machine svm
- dimension reduction
- image processing
- automated classification
- classification accuracy
- decision trees
- discriminant analysis
- machine learning
- classification method
- classification models
- unsupervised learning
- extracted features
- training set
- video classification
- model selection
- automatic classification
- classification scheme
- extracting features
- texture analysis
- classification algorithm
- frequency domain
- image features
- support vector
- multiscale
- face recognition
- feature selection