"Edge Computing-enabled Intrusion Detection for C-V2X Networks using ..."

Aymene Selamnia et al. (2022)

> Home

Details and statistics

DOI: 10.1109/GLOBECOM48099.2022.10001675

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/globecom/SelamniaBSBH22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/globecom/SelamniaBSBH22
Aymene Selamnia, Bouziane Brik, Sidi Mohammed Senouci, Abdelwahab Boualouache, Shajjad Hossain:
Edge Computing-enabled Intrusion Detection for C-V2X Networks using Federated Learning. GLOBECOM 2022: 2080-2085

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.