Using Machine Learning for Vulnerability Detection and Classification.
Tiago BaptistaNuno OliveiraPedro Rangel HenriquesPublished in: SLATE (2021)
Keyphrases
- machine learning
- decision trees
- pattern recognition
- machine learning algorithms
- supervised classification
- supervised machine learning
- machine learning methods
- support vector machine
- detection algorithm
- text classification
- classification accuracy
- machine learning approaches
- supervised learning
- model selection
- image classification
- object detection
- decision rules
- inductive learning
- neural network
- classification method
- false alarms
- feature space
- data analysis
- computer science
- classification systems
- feature selection
- neyman pearson
- classification models
- automatic classification
- classification algorithm
- unsupervised learning
- benchmark datasets
- support vector
- natural language processing
- knowledge acquisition
- anomaly detection
- learning tasks
- automatic detection
- pattern classification
- text mining
- detection method
- statistical learning
- feature vectors
- preprocessing
- class labels
- reinforcement learning
- feature extraction
- learning algorithm
- discriminative classifiers
- data mining