"2DF-IDS: Decentralized and differentially private federated learning-based ..."

Othmane Friha et al. (2023)

> Home

Details and statistics

DOI: 10.1016/J.COSE.2023.103097

access: closed

type: Journal Article

metadata version: 2023-11-12

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/compsec/FrihaFBBKC23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/compsec/FrihaFBBKC23
Othmane Friha, Mohamed Amine Ferrag, Mohamed Benbouzid, Tarek Berghout, Burak Kantarci, Kim-Kwang Raymond Choo:
2DF-IDS: Decentralized and differentially private federated learning-based intrusion detection system for industrial IoT. Comput. Secur. 127: 103097 (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.