One Versus All Binary Tree Method to Classify Misbehaviors in Imbalanced VeReMi Dataset
Omessaad Slama,
Mounira Tarhouni,
Salah Zidi
et al.
Abstract:Nowadays, transportation networks depend heavily on the technology known as vehicular ad hoc networks (VANETs). VANETs enhance traffic control and road safety while also enabling vehicle-tovehicle communication using basic safety messages (BSM), which are susceptible to different kinds of attacks. This study focuses on techniques for detecting and classifying misbehavior in VANETs while dealing with unbalanced data. In order to ensure equal treatment of minority and majority categories, we provide a novel meth… Show more
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