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Tailored machine learning-based IDS for RPL-based IoT networks with feature optimization and attack profiling using a novel dataset Cover

Tailored machine learning-based IDS for RPL-based IoT networks with feature optimization and attack profiling using a novel dataset

Open Access
|Jun 2026

Authors

Mehdi Rouissat

m.rouissat@cu-elbayadh.dz

STIC Laboratory, University Aboubekr Belkaid, Tlemcen, Algeria
Nour Bachir University Center, El-Bayadh, Algeria

Hichem Sid Ahmed Belkhira

ENS Saida, Algeria

Mohammed Belkheir

Nour Bachir University Center, El-Bayadh, Algeria
LIMA Laboratory, Nour Bachir University Center, El-Bayadh, Algeria

Allel Mokaddem

Nour Bachir University Center, El-Bayadh, Algeria
LIMA Laboratory, Nour Bachir University Center, El-Bayadh, Algeria

Djamila Ziani

Nour Bachir University Center, El-Bayadh, Algeria
LIMA Laboratory, Nour Bachir University Center, El-Bayadh, Algeria

Ibrahim S. Alsukayti

Department of Computer Science, College of Computer, Qassim University, Buraydah, Saudi Arabia
DOI: https://doi.org/10.2478/jee-2026-0028 | Journal eISSN: 1339-309X | Journal ISSN: 1335-3632
Language: English
Page range: 289 - 298
Submitted on: Apr 28, 2026
Published on: Jun 17, 2026
In partnership with: Paradigm Publishing Services
Publication frequency: 6 issues per year

© 2026 Mehdi Rouissat, Hichem Sid Ahmed Belkhira, Mohammed Belkheir, Allel Mokaddem, Djamila Ziani, Ibrahim S. Alsukayti, published by Slovak University of Technology in Bratislava
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.