Machine Learning for Offensive Security: Sandbox Classification Using Decision Trees and Artificial Neural Networks.
Will PearceNick LandersNancy FuldaPublished in: SAI (1) (2020)
Keyphrases
- decision trees
- machine learning
- artificial neural networks
- machine learning algorithms
- machine learning methods
- pattern recognition
- computational intelligence
- predictive accuracy
- feature construction
- decision tree induction
- naive bayes
- classification rules
- training set
- text classification
- decision tree learning
- decision rules
- classification models
- security requirements
- data mining
- cost sensitive learning
- decision tree algorithm
- support vector machine
- neural network
- using artificial neural networks
- supervised machine learning
- inductive learning
- learning algorithm
- pattern classification
- support vector machine svm
- multi layer perceptron
- rule induction
- feature vectors
- training data
- attribute selection
- genetic algorithm
- fuzzy decision trees
- decision tree construction
- decision tree induction algorithm
- supervised learning
- intrusion detection
- unsupervised learning
- image classification
- random forest
- rule sets
- information extraction
- ensemble methods
- information security
- nearest neighbour
- classification accuracy
- classification method
- genetic algorithm ga
- model selection
- cost sensitive
- decision tree learning algorithm
- concept drifting data streams