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Intelligent Multi-Stage Feature Selection for Real-Time Intrusion Detection in IoV Networks: A Machine Learning Framework Cover

Intelligent Multi-Stage Feature Selection for Real-Time Intrusion Detection in IoV Networks: A Machine Learning Framework

Open Access
|Oct 2026
DOI: https://doi.org/10.2478/fcds-2026-0014 | Journal eISSN: 2300-3405 (formerly 0867-6356) | Journal ISSN: 0867-6356
Language: English
Page range: 425 - 451
Submitted on: Feb 7, 2026
Accepted on: Aug 16, 2026
Published online: Oct 11, 2026
Published in print: Sep 1, 2026
Published by: Poznan University of Technology
In partnership with: Paradigm Publishing Services

© 2026 Emediong Obot, Bliss Utibe-Abasi Stephen, Okorafor Nwaji Godfrey, Sadiq Thomas, Akpasam Joseph Ekanem, Philip Asuquo, published by Poznan University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.