PowerDP: De-Obfuscating and Profiling Malicious PowerShell Commands With Multi-Label Classifiers.
Meng-Han TsaiChia-Ching LinZheng-Gang HeWei-Chieh YangChin-Laung LeiPublished in: IEEE Access (2023)
Keyphrases
- multi label
- multi label classification
- class labels
- text categorization
- classifier training
- graph cuts
- image annotation
- binary classification
- image classification
- multi instance
- text classification
- multi label learning
- binary classifiers
- learning tasks
- multi label image annotation
- naive bayes
- training data
- feature selection
- machine learning algorithms
- classification algorithm
- decision trees
- feature set
- hierarchical text categorization
- max margin
- training set
- multi class
- support vector
- semi supervised learning
- neural network
- multiple labels
- pairwise
- cost sensitive
- learning process
- knn
- information extraction
- semi supervised
- nearest neighbor