Machine Learning for Offensive Security: Sandbox Classification Using Decision Trees and Artificial Neural Networks.
Will PearceNick LandersNancy FuldaPublished in: CoRR (2020)
Keyphrases
- decision trees
- machine learning
- artificial neural networks
- machine learning algorithms
- feature construction
- machine learning methods
- decision tree algorithm
- computational intelligence
- machine learning approaches
- classification rules
- pattern recognition
- classification accuracy
- support vector machine
- predictive accuracy
- attribute selection
- decision tree learning
- neural network
- decision rules
- classification method
- feature selection
- decision tree induction algorithm
- feature vectors
- active learning
- supervised learning
- text classification
- decision tree construction
- inductive bias
- decision tree induction
- access control
- information extraction
- training data
- classification models
- cost sensitive learning
- classification trees
- rule induction
- support vector machine svm
- feature extraction
- supervised machine learning
- naive bayes
- decision tree learning algorithm
- supervised classification
- decision tree classifiers
- fuzzy decision trees
- using artificial neural networks
- model selection
- inductive learning
- neural network model
- rule sets
- information security
- text mining
- rough sets
- classification algorithm
- genetic algorithm ga
- unsupervised learning