Edge Computing-enabled Intrusion Detection for C-V2X Networks using Federated Learning-Reference-Cited by-同舟云学术

Edge Computing-enabled Intrusion Detection for C-V2X Networks using Federated Learning

Published:2022-12-04 Issue: Volume: Page:
ISSN:
Container-title:GLOBECOM 2022 - 2022 IEEE Global Communications Conference
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Author:

Selamnia Aymene¹,Brik Bouziane¹,Senouci Sidi Mohammed¹,Boualouache Abdelwahab²,Hossain Shajjad¹

Affiliation:

1. DRIVE Laboratory EA1859, Univ. Bourgogne Franche Comté,Nevers,France,F58000

2. University of Luxembourg,FSTM, Faculty of Science, Technology and Medicine,Luxembourg

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10000063/10000593/10001675.pdf?arnumber=10001675

Reference21 articles.

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4. Toward developing a systematic approach to generate benchmark datasets for intrusion detection

5. Decentralized federated averaging;sun;ArXiv Preprint,2021

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