Intrusion detection system for V2X communication in VANET networks using machine learning-based cryptographic protocols

Intrusion detection system for V2X communication in VANET networks using machine learning-based cryptographic protocols

Abstract Vehicle-to-everything (V2X) communication has many benefits. It improves fuel efficiency, road safety, and traffic management. But it raises privacy and security concerns. These include the risk of cyberattacks and the loss of drivers’ personal data. Eavesdropping, data manipulation, and un...

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Bibliographic Details
Main Authors: Thiruppathy Kesavan Venkatasamy, Md. Jakir Hossen, Gopi Ramasamy, Nor Hidayati Binti Abdul Aziz
Format: Article
Language:English
Published: Nature Portfolio 2024-12-01
Series:Scientific Reports
Subjects:
V2X communication
Vehicular ad-hoc networks
Machine learning
Intrusion detection system
Cryptography
Online Access:https://doi.org/10.1038/s41598-024-82313-x
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