The Social Side of Internet of Things: Introducing Trust-Augmented Social Strengths for IoT Service Composition

The integration of Internet of Things (IoT) systems with social networking concepts has opened new business and social opportunities, particularly by allowing smart objects to autonomously establish social relationships with each other and exchange information. However, these relations must be properly quantified and integrated with trust in order to proliferate the provisioning of IoT composite services. Therefore, this proposed work focuses on quantitatively computing social strength and trust among smart objects in IoT for the purpose of aiding efficient service composition with reasonable accuracy. In particular, we propose a trust-augmented social strength (TASS) management protocol that can cope with the heterogeneity of IoT and demonstrate high scalability and resiliency against various malicious attacks. Afterward, we show how the TASS measurements can be applied to service planning in IoT service composition. Based on the experimental results, we conclude that the proposed protocol is, in fact, capable of exhibiting the above-mentioned characteristics in real-world settings.

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Publication Details

Journal
Sensors
Published
2025-08-04
DOI
https://doi.org/10.3390/s25154794
Citations
3
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
4.46

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article

The Social Side of Internet of Things: Introducing Trust-Augmented Social Strengths for IoT Service Composition

Ihn-Sik Weon, Jae‐Kyu Jung
3 citations
Sensors
IoT and Edge/Fog Computing
4.46
article

The Social Side of Internet of Things: Introducing Trust-Augmented Social Strengths for IoT Service Composition

Ihn-Sik Weon, Jae‐Kyu Jung
article en
3 citations

Abstract

The integration of Internet of Things (IoT) systems with social networking concepts has opened new business and social opportunities, particularly by allowing smart objects to autonomously establish social relationships with each other and exchange information. However, these relations must be properly quantified and integrated with trust in order to proliferate the provisioning of IoT composite services. Therefore, this proposed work focuses on quantitatively computing social strength and trust among smart objects in IoT for the purpose of aiding efficient service composition with reasonable accuracy. In particular, we propose a trust-augmented social strength (TASS) management protocol that can cope with the heterogeneity of IoT and demonstrate high scalability and resiliency against various malicious attacks. Afterward, we show how the TASS measurements can be applied to service planning in IoT service composition. Based on the experimental results, we conclude that the proposed protocol is, in fact, capable of exhibiting the above-mentioned characteristics in real-world settings.

SensorsVol. 25(15)
Korea Institute of Industrial Technology (KR)
Ministry of Trade, Industry and Energy, Korea Evaluation Institute of Industrial Technology
Openalex Percentile: Top 5%
IoT and Edge/Fog Computing
4.46
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