Intruder Detection in VANET Data Streams Using Federated Learning for Smart City Environments

Intruder Detection in VANET Data Streams Using Federated Learning for Smart City Environments

Vehicular networks improve quality of life, security, and safety, making them crucial to smart city development. With the rapid advancement of intelligent vehicles, the confidentiality and security concerns surrounding vehicular ad hoc networks (VANETs) have garnered considerable attention. VANETs a...

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Bibliographic Details
Main Authors: Monika Arya, Hanumat Sastry, Bhupesh Kumar Dewangan, Mohammad Khalid Imam Rahmani, Surbhi Bhatia, Abdul Wahab Muzaffar, Mariyam Aysha Bivi
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Electronics
Subjects:
smart city
deep learning
machine learning
VANETs
intrusion detection system
data streams
Online Access:https://www.mdpi.com/2079-9292/12/4/894

Internet

https://www.mdpi.com/2079-9292/12/4/894

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