Intrusion Detection Based on Privacy-Preserving Federated Learning for the Industrial IoT.
Pedro Ruzafa AlcazarPablo Fernández SauraEnrique Mármol CamposAurora González-VidalJosé Luis Hernández RamosJorge Bernal BernabéAntonio F. SkarmetaPublished in: IEEE Trans. Ind. Informatics (2023)
Keyphrases
- intrusion detection
- privacy preserving
- anomaly detection
- intrusion detection system
- network security
- learning algorithm
- privacy preserving data mining
- network traffic
- multi party
- network intrusion detection
- horizontally partitioned data
- secure multiparty computation
- vertically partitioned data
- detecting anomalous
- privacy preservation
- data privacy
- sensitive information
- cloud computing
- unsupervised learning
- dimensionality reduction
- supervised learning