Connected Vehicles Security: A Lightweight Machine Learning Model to Detect VANET Attacks

Connected Vehicles Security: A Lightweight Machine Learning Model to Detect VANET Attacks

Vehicular ad hoc networks (VANETs) aim to manage traffic, prevent accidents, and regulate various parts of traffic. However, owing to their nature, the security of VANETs remains a significant concern. This study provides insightful information regarding VANET vulnerabilities and attacks. It investi...

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Bibliographic Details
Main Authors: Muawia A. Elsadig, Abdelrahman Altigani, Yasir Mohamed, Abdul Hakim Mohamed, Akbar Kannan, Mohamed Bashir, Mousab A. E. Adiel
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:World Electric Vehicle Journal
Subjects:
VANETs
CICIDS2017
connected vehicles
cyber security
internet of things security
vehicular ad hoc networks
Online Access:https://www.mdpi.com/2032-6653/16/6/324
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https://www.mdpi.com/2032-6653/16/6/324

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