Securing IoT Networks with Advanced Threat Detection Through Ensemble Methods

Adedapo Paul Aderemi; Celestine Iwendi; Thaier Hamid; Okwuchukwu  Innocent Ani; Olayinka  Anthony Ojo

doi:10.1007/978-3-031-94620-2_3

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Securing IoT Networks with Advanced Threat Detection Through Ensemble Methods

Conference proceeding

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Securing IoT Networks with Advanced Threat Detection Through Ensemble Methods

Adedapo Paul Aderemi, Celestine Iwendi, Thaier Hamid, Okwuchukwu Innocent Ani and Olayinka Anthony Ojo

Proceedings of the 4th International Conference on Advances in Communication Technology and Computer Engineering (ICACTCE’24): Transforming Industries: Harnessing the Power of Artificial Intelligence and the Internet of Things. Volume 1 , pp.24-36

Lecture Notes in Networks and Systems, 1312

ICACTCE: International Conference on Advances in Communication Technology and Computer Engineering (Marrakech, Morocco, 29/11/2024–30/11/2024)

12/07/2025

DOI: https://doi.org/10.1007/978-3-031-94620-2_3

Abstract

IoT Security

Intrusion Detection System

Ensemble Learning

Machine Learning

CICIoT2023 Dataset

Cybersecurity

This paper investigates the use of ensemble learning techniques to enhance the security of Internet of Things (IoT) networks through advanced Intrusion Detection Systems (IDS). Utilizing the CICIoT2023 dataset, the study evaluates four ensemble methods: Ensemble Voting, Random Subspace, Bayesian Model Averaging, and Boosting. The results demonstrate that Random Subspace and Bayesian Model Averaging significantly improve detection accuracy and robustness against various attack types, highlighting their potential in real-world IoT security applications.

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Title: Securing IoT Networks with Advanced Threat Detection Through Ensemble Methods
Creators - without role: Adedapo Paul Aderemi - University of Greater Manchester
Celestine Iwendi - University of Greater Manchester, Computing
Thaier Hamid - University of Greater Manchester, Computing
Okwuchukwu Innocent Ani - Enugu State University of Science and Technology
Olayinka Anthony Ojo - University of Greater Manchester
Contributors: Professor Celestine Iwendi (Editor) - University of Greater Manchester, Computing
Zakaria Boulouard (Editor) - University of Hassan II Casablanca
Natalia Kryvinska (Editor)
Publication Details: Proceedings of the 4th International Conference on Advances in Communication Technology and Computer Engineering (ICACTCE’24): Transforming Industries: Harnessing the Power of Artificial Intelligence and the Internet of Things. Volume 1 , pp.24-36
Conference: ICACTCE: International Conference on Advances in Communication Technology and Computer Engineering (Marrakech, Morocco, 29/11/2024–30/11/2024)
Series: Lecture Notes in Networks and Systems; 1312
Publisher: Springer Nature; Cham
Identifiers: 9914010108841; 2367-3370; 2367-3389; 9783031946196; 2367-3389
Academic Unit: Computing
Language: English
Resource Type: Conference proceeding
Date accepted: 09/2024

Securing IoT Networks with Advanced Threat Detection Through Ensemble Methods

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