FEAT: A Federated Approach for Privacy-Preserving Network Traffic Classification in Heterogeneous Environments.
Yingya GuoDan WangPublished in: IEEE Internet Things J. (2023)
Keyphrases
- privacy preserving
- network traffic
- privacy preserving classification
- heterogeneous environments
- support vector machine classification
- privacy preserving data mining
- intrusion detection
- intrusion detection system
- anomaly detection
- privacy preservation
- vertically partitioned data
- private information
- data privacy
- machine learning
- naive bayesian classification
- text classification
- decision trees
- feature selection
- multi party
- privacy sensitive
- scalar product
- record linkage
- sensitive information
- supervised learning
- digital libraries
- differential privacy
- privacy protection
- traffic data
- unsupervised learning
- feature extraction
- real world
- databases