Detection of DDoS cyberattack using a hybrid trust-based technique for smart home networks

Okporokpo, O, Olajide, F, Ajienka, N and Ma, X ORCID: https://orcid.org/0000-0003-0074-4192, 2025. Detection of DDoS cyberattack using a hybrid trust-based technique for smart home networks. International Journal of Advanced Computer Science and Applications, 16 (1). ISSN 2158-107X

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Abstract

As Smart Home Internet of Things (SHIoT) continue to evolve, improving connectivity and security whilst offering convenience, ease, and efficiency is crucial. SHIoT networks are vulnerable to several cyberattacks, including Distributed Denial of Service (DDoS) attacks. The ever-changing landscape of Smart Home IoT threats presents many problems for current cybersecurity techniques. In response, we propose a hybrid Trust-based approach for DDoS attack detection and mitigation. Our proposed technique incorporates adaptive mechanisms and trust evaluation models to monitor device behaviour and identify malicious nodes dynamically. By leveraging real-time threat detection and secure routing protocols, the proposed trust-based mechanism ensures uninterrupted communication and minimizes the attack surface. Additionally, energy-efficient techniques are employed to safeguard communication without overburdening resource-constrained SHIoT devices. To evaluate the effectiveness of the proposed technique in efficiently detecting and mitigating DDoS attacks, we conducted several simulation experiments and compared the performance of the approach with other existing DDoS detection mechanisms. The results showed notable improvements in terms of energy efficiency, improved system resilience and enhanced computations. Our solution offers a targeted approach to securing Smart Home IoT environments against evolving cyber threats.

Item Type:	Journal article
Publication Title:	International Journal of Advanced Computer Science and Applications
Creators:	Okporokpo, O., Olajide, F., Ajienka, N. and Ma, X.
Publisher:	The Science and Information Organization
Date:	2025
Volume:	16
Number:	1
ISSN:	2158-107X
Identifiers:	Number Type 10.14569/ijacsa.2025.0160103 DOI 2521513 Other
Rights:	This is an open access article licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Borcherds
Date Added:	04 Nov 2025 10:18
Last Modified:	04 Nov 2025 10:18
URI:	https://irep.ntu.ac.uk/id/eprint/54665

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