Random forest with differential privacy in federated learning framework for network attack detection and classification.
Tijana MarkovicMiguel León OrtizDavid BuffoniSasikumar PunnekkatPublished in: Appl. Intell. (2024)
Keyphrases
- random forest
- decision trees
- supervised learning
- feature set
- learning algorithm
- image classification
- attack detection
- feature reduction
- unsupervised learning
- feature space
- differential privacy
- feature selection
- classification accuracy
- reinforcement learning
- bayesian networks
- machine learning
- benchmark datasets
- multi label
- prediction accuracy
- network structure
- privacy preserving
- text classification
- feature vectors