Randomization effect for enhanced IoT-network intrusion detection systems

Mohamad Yusof, Zetty Rania and Habaebi, Mohamed Hadi and Islam, Md. Rafiqul and Najeeb, Athaur Rahman (2026) Randomization effect for enhanced IoT-network intrusion detection systems. In: 2025 10th International Conference on Computer and Communication Engineering (ICCCE), 26-27 August 2025, KOE, IIUM.

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Abstract

The rapid growth of Internet of Things (IoT) devices has introduced significant security challenges, as traditional network intrusion detection systems (NIDS) are often inadequate for IoT environments. This paper presents the effect of randomization on the performance of different machine learning-based IoT Network Intrusion Detection Systems (IoTNIDS) for IoT networks. Combinations of XGBoost, Random Forest, and CNN + LSTM models, both with and without randomization, were trained and tested on relevant IoT datasets to achieve an optimal solution. The findings demonstrate that the proposed machine learning-based NIDS provides a robust and efficient solution for IoT security, capable of handling various types of network intrusions. The performance comparison across datasets revealed that no single model performed optimally for all scenarios, emphasizing the importance of dataset-specific customization in NIDS design. The incorporation of randomization proved particularly valuable in enhancing the generalization of CNN+LSTM for unseen data, aligning with the recent findings in the literature.

Item Type:	Proceeding Paper (Plenary Papers)
Uncontrolled Keywords:	Network Intrusion Detection System (NIDS), Machine Learning (ML), Internet of Things (IoT), Randomization
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Dr. Mohamed Hadi Habaebi
Date Deposited:	28 Apr 2026 09:08
Last Modified:	28 Apr 2026 09:08
Queue Number:	2026-04-Q2956
URI:	http://irep.iium.edu.my/id/eprint/128488

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