Multi-Class Intrusion Detection in Internet of Vehicles: Optimizing Machine Learning Models on Imbalanced Data

Multi-Class Intrusion Detection in Internet of Vehicles: Optimizing Machine Learning Models on Imbalanced Data

The Internet of Vehicles (IoV) presents complex cybersecurity challenges, particularly against Denial-of-Service (DoS) and spoofing attacks targeting the Controller Area Network (CAN) bus. This study leverages the CICIoV2024 dataset, comprising six distinct classes of benign traffic and various type...

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Bibliographic Details
Main Authors: Ágata Palma, Mário Antunes, Jorge Bernardino, Ana Alves
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Future Internet
Subjects:
cybersecurity
machine learning
imbalanced data
internet of vehicles (IoV)
intrusion detection system (IDS)
multi-class classification
Online Access:https://www.mdpi.com/1999-5903/17/4/162
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