Improving DGA-Based Malicious Domain Classifiers for Malware Defense with Adversarial Machine Learning.
Ibrahim YilmazAmbareen SirajDenis A. UlybyshevPublished in: CoRR (2021)
Keyphrases
- machine learning
- machine learning algorithms
- decision trees
- machine learning methods
- detect malicious
- machine learning approaches
- malicious code
- pattern recognition
- supervised classification
- feature selection
- support vector
- intrusion detection
- data mining
- training data
- reinforcement learning
- reverse engineering
- domain specific
- artificial intelligence
- multiple classifier systems
- linear classifiers
- learning problems
- active learning
- natural language processing
- ensemble learning
- computer vision
- multi agent
- training set
- ensemble classifier
- classification accuracy
- information extraction
- semi supervised
- knowledge acquisition
- learning algorithm
- transfer learning
- classification algorithm
- svm classifier
- domain experts
- test set
- feature set