The rise of machine learning for detection and classification of malware: Research developments, trends and challenges.
Daniel GibertCarles MateuJordi PlanesPublished in: J. Netw. Comput. Appl. (2020)
Keyphrases
- machine learning
- pattern recognition
- machine learning methods
- supervised machine learning
- decision trees
- machine learning algorithms
- text classification
- classification accuracy
- support vector machine
- supervised learning
- feature selection
- detection method
- image classification
- supervised classification
- computer vision
- object detection
- malware detection
- artificial intelligence
- model selection
- classification scheme
- automatic classification
- classification algorithm
- reverse engineering
- lessons learned
- microcalcification clusters
- machine learning approaches
- false alarms
- pattern classification
- automatic detection
- classification method
- benchmark datasets
- feature extraction
- data mining
- support vector
- feature vectors
- learning tasks
- classification models
- detection algorithm
- dynamic analysis
- feature set
- multi class