FSCB-IDS: Feature Selection and Minority Class Balancing for Attacks Detection in VANETs

Vehicular ad hoc networks (VANETs) are used for vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communications. They are a special type of mobile ad hoc networks (MANETs) that can share useful information to improve road traffic and safety. In VANETs, vehicles are interconnected through...

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出版年:	Applied Sciences
主要な著者:	Sara Amaouche, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Sohaib Bin Altaf Khattak, Haleem Farman, Moustafa M. Nasralla
フォーマット:	論文
言語:	英語
出版事項:	MDPI AG 2023-06-01
主題:	attacks intrusion detection machine learning security VANET
オンライン･アクセス:	https://www.mdpi.com/2076-3417/13/13/7488