Machine learning based multi-stage intrusion detection system and feature selection ensemble security in cloud assisted vehicular ad hoc networks

Abstract The development of intelligent transportation systems relies heavily on Cloud-assisted Vehicular Ad Hoc Networks (VANETs); hence, these networks must be protected. Particularly susceptible to a broad range of assaults are VANETs because of their extreme dynamism and decentralization. Connec...

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Auteurs principaux:	C. Christy, A. Nirmala, A. Mary Odilya Teena, A. Isabella Amali
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2025-07-01
Collection:	Scientific Reports
Sujets:	Intrusion-detection Machine learning Security Vehicular ad hoc network Lightweight
Accès en ligne:	https://doi.org/10.1038/s41598-025-96303-0
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