"FLADEN: Federated Learning for Anomaly DEtection in IoT Networks."

Fatma Hendaoui et al. (2025)

> Home

Details and statistics

DOI: 10.1016/J.COSE.2025.104446

access: closed

type: Journal Article

metadata version: 2025-05-22

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/compsec/HendaouiMTFA25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/compsec/HendaouiMTFA25
Fatma Hendaoui, Rahma Meddeb, Lamia Trabelsi, Ahlem Ferchichi, Rawia Ahmed:
FLADEN: Federated Learning for Anomaly DEtection in IoT Networks. Comput. Secur. 155: 104446 (2025)

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.