Vehicular Network Intrusion Detection Using a Cascaded Deep Learning Approach with Multi-Variant Metaheuristic

Vehicle malfunctions have a direct impact on both human and road safety, making vehicle network security an important and critical challenge. Vehicular ad hoc networks (VANETs) have grown to be indispensable in recent years for enabling intelligent transport systems, guaranteeing traffic safety, and...

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Bibliographic Details

Published in:	Sensors
Main Authors:	Ankit Manderna, Sushil Kumar, Upasana Dohare, Mohammad Aljaidi, Omprakash Kaiwartya, Jaime Lloret
Format:	Article
Language:	English
Published:	MDPI AG 2023-10-01
Subjects:	VANET intrusion detection deep learning long short-term memory convolution neural network
Online Access:	https://www.mdpi.com/1424-8220/23/21/8772