Histogram Entropy Representation and Prototype Based Machine Learning Approach for Malware Family Classification.
Byunghyun BaekSeoungyul EuhDong-Heon BaekDonghoon KimDoosung HwangPublished in: IEEE Access (2021)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- supervised learning
- machine learning algorithms
- decision trees
- supervised machine learning
- text classification
- feature selection
- classification accuracy
- pattern classification
- feature construction
- support vector
- machine learning approaches
- kernel methods
- hsv color
- decision rules
- feature representation
- support vector machine svm
- support vector machine
- feature vectors
- classification scheme
- automatic classification
- supervised classification
- data analysis
- training set
- computer vision
- classification method
- classification algorithm
- pattern representation
- neural network
- feature extraction
- learning algorithm
- similarity measure
- support vector machine classification
- mutual information
- reverse engineering
- cost sensitive
- learning tasks
- classification rules
- natural language processing
- text mining
- unsupervised learning
- model selection