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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Detalles Bibliográficos
Autores principales: Manderna, Ankit, Kumar, Sushil, Dohare, Upasana, Aljaidi, Mohammad, Kaiwartya, Omprakash, Lloret, Jaime
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650029/
https://www.ncbi.nlm.nih.gov/pubmed/37960470
http://dx.doi.org/10.3390/s23218772

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650029/
https://www.ncbi.nlm.nih.gov/pubmed/37960470
http://dx.doi.org/10.3390/s23218772

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