Balancing CICIoV2024 Dataset with RUS for Improved IoV Attack Detection

Balancing CICIoV2024 Dataset with RUS for Improved IoV Attack Detection

This study addresses the cybersecurity challenges within the Internet of Vehicles (IoV) by exploring the efficacy of Random Under-Sampling (RUS) in balancing the class distribution of the CICIoV2024 dataset for improved intrusion detection. IoV technology connects vehicles to digital infrastructure,...

Full description

Saved in:
Bibliographic Details
Main Authors: Muhammad David Firmansyah, Ifan Rizqa, Fauzi Adi Rafrastara
Format: Article
Language:English
Published: Politeknik Negeri Batam 2025-03-01
Series:Journal of Applied Informatics and Computing
Subjects:
internet of things, internet of vehicle, imbalanced dataset, machine learning, random under sampling.
Online Access:https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/9079
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items