"Intrusion Detection Based on Privacy-Preserving Federated Learning for the ..."

Pedro Ruzafa Alcazar et al. (2023)

> Home

Details and statistics

DOI: 10.1109/TII.2021.3126728

access: open

type: Journal Article

metadata version: 2023-08-06

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/tii/AlcazarSCGRBS23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tii/AlcazarSCGRBS23
Pedro Ruzafa Alcazar, Pablo Fernández Saura, Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández Ramos, Jorge Bernal Bernabé, Antonio F. Skarmeta:
Intrusion Detection Based on Privacy-Preserving Federated Learning for the Industrial IoT. IEEE Trans. Ind. Informatics 19(2): 1145-1154 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.