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Trust-based Enhanced ACO Algorithm for Secure Routing in IoT

Indonesian Journal of Electical Engineering and Informatics (IJEEI) · Vol. 12 No. 2 (2024) · hlm. 344–359

DOI
10.52549/ijeei.v12i2.5118
ISSN
2089-3272, 2089-3272
Terbit
2024-06-28
Penerbit
IAES Indonesian Section
Bahasa
en

Abstrak

The Internet of Things (IoT) is an expanding paradigm of object connectivity using a range of resource types and architectures to deliver ubiquitous and requested services. There are security issues associated with the proliferation of IoT-connected devices, allowing IoT applications to evolve. In order to provide an energy-efficient and secure routing method for sensors deployed within a dynamic IoT network, this paper presents a trust-aware enhanced ant colony optimization (ACO)-based routing algorithm, incorporating a lightweight trust evaluation model. As it is challenging to implement security in resource-constrained IoT networks, the presented model adopted bioinspired approaches, offering an improved version of ACO towards secure data transmission cost-effectively while taking into consideration residual energy and the trust score of the sensor to be optimized. The trust evaluation system has been enhanced in the development of the proposed routing algorithm and the node trust value is evaluated, sensor node misbehavior is identified, and energy conservation is maximized. The performance evaluation is demonstrated utilizing MATLAB. In comparison to the standard bioinspired algorithms and existing secure routing protocols, the proposed system reduces average energy consumption by nearly 50% regardless of the increase in the number of nodes and end-to-end delay of 40%, while finding the secure and optimal path in unison is designed to ensure trust in the IoT environment.

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  • International Islamic University Malaysia
  • University of Gezira
  • Taif University
  • University of Modern Sciences
  • Lamar University
  • University of Malaya
  • Shanto-Mariam University of Creative Technology
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Rekan penulisOrganisasiArtikel bersama
Siti Hajar YusoffInternational Islamic University Malaysia2
M. N. HaidariInternational Islamic University Malaysia1
Zeinab E. AhmedUniversity of Gezira1
Rashid Abdelhaleem SaeedTaif University1
Mamoon Mohammed Ali SaeedUniversity of Modern Sciences1
Muhammad Ibn IbrahimyInternational Islamic University Malaysia1
Tawfikur RahmanInternational Islamic University Malaysia1
M. Wahidur RahmanInternational Islamic University Malaysia1
Farhat AnwarInternational Islamic University Malaysia1
Zainab S. MahmodInternational Islamic University Malaysia1
Othman O. KhalifaAfiliasi tidak diketahui1
Shihab Ahmed HameedInternational Islamic University Malaysia1
Huda Adibah Mohd RamliInternational Islamic University Malaysia1
Azana Hafizah Mohd AmanInternational Islamic University Malaysia1
AHM Zahirul AlamAfiliasi tidak diketahui1
Mohammad A MatinAfiliasi tidak diketahui1
Mohammed Iqbalur Rahman RokonInternational Islamic University Malaysia1
Md MahmudLamar University1
Khadiza AkterInternational Islamic University Malaysia1
A. H. M. Zahirul AlamInternational Islamic University Malaysia1
Sajib AhmedUniversity of Malaya1
Tania AnnurShanto-Mariam University of Creative Technology1
Alhareth ZyoudBirzeit University1
Ahmed Samir Abed BadawiInternational Islamic University Malaysia1
Nurul Fadzlin HasbullahInternational Islamic University Malaysia1

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Sumber metadata: OAI-PMH (metadata jurnal) http://section.iaesonline.com/index.php/IJEEI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Trust-based Enhanced ACO Algorithm for Secure  Routing in IoT</dc:title>
	<dc:creator xml:lang="en">Sharmin, Afsah</dc:creator>
	<dc:creator xml:lang="en">Motakabber, S. M. A.</dc:creator>
	<dc:creator xml:lang="en">Hashim, Aisha Hassan Abdalla</dc:creator>
	<dc:subject xml:lang="en">Ant Colony Optimization</dc:subject>
	<dc:subject xml:lang="en">Internet of Things</dc:subject>
	<dc:subject xml:lang="en">Sensors</dc:subject>
	<dc:subject xml:lang="en">Secure Routing</dc:subject>
	<dc:subject xml:lang="en">Trust Evaluation</dc:subject>
	<dc:subject xml:lang="en">Energy efficiency</dc:subject>
	<dc:description xml:lang="en">The Internet of Things (IoT) is an expanding paradigm of object connectivity using a range of resource types and architectures to deliver ubiquitous and requested services. There are security issues associated with the proliferation of IoT-connected devices, allowing IoT applications to evolve. In order to provide an energy-efficient and secure routing method for sensors deployed within a dynamic IoT network, this paper presents a trust-aware enhanced ant colony optimization (ACO)-based routing algorithm, incorporating a lightweight trust evaluation model. As it is challenging to implement security in resource-constrained IoT networks, the presented model adopted bioinspired approaches, offering an improved version of ACO towards secure data transmission cost-effectively while taking into consideration residual energy and the trust score of the sensor to be optimized. The trust evaluation system has been enhanced in the development of the proposed routing algorithm and the node trust value is evaluated, sensor node misbehavior is identified, and energy conservation is maximized. The performance evaluation is demonstrated utilizing MATLAB. In comparison to the standard bioinspired algorithms and existing secure routing protocols, the proposed system reduces average energy consumption by nearly 50% regardless of the increase in the number of nodes and end-to-end delay of 40%, while finding the secure and optimal path in unison is designed to ensure trust in the IoT environment.</dc:description>
	<dc:publisher xml:lang="en">IAES Indonesian Section</dc:publisher>
	<dc:date>2024-06-28</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://section.iaesonline.com/index.php/IJEEI/article/view/5118</dc:identifier>
	<dc:identifier>10.52549/ijeei.v12i2.5118</dc:identifier>
	<dc:source xml:lang="en">Indonesian Journal of Electrical Engineering and Informatics (IJEEI); Vol. 12 No. 2: June 2024; 344-359</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:source>2089-3272</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://section.iaesonline.com/index.php/IJEEI/article/view/5118/915</dc:relation>
</oai_dc:dc>