An Adaptive Real-Time Malicious Node Detection Framework Using Machine Learning in Vehicular Ad-Hoc Networks (VANETs)

Modern vehicle communication development is a continuous process in which cutting-edge security systems are required. Security is a main problem in the Vehicular Ad Hoc Network (VANET). Malicious node detection is one of the critical issues found in the VANET environment, with the ability to communi...

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Detalles Bibliográficos
Autores principales: Rashid, Kanwal, Saeed, Yousaf, Ali, Abid, Jamil, Faisal, Alkanhel, Reem, Muthanna, Ammar
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007041/
https://www.ncbi.nlm.nih.gov/pubmed/36904798
http://dx.doi.org/10.3390/s23052594

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007041/
https://www.ncbi.nlm.nih.gov/pubmed/36904798
http://dx.doi.org/10.3390/s23052594

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