Trust and class aware service discovery with dual control in the social Internet of Things
Rattachement africain : kr, sa, hr. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Service discovery in the Social Internet of Things (SIoT) must be both efficient and trustworthy. Dense device graphs and heterogeneous link reliability make naïve traversal ineffective and risk-prone. We address this by constructing an Individual's Small-World SIoT (ISWSIoT) search space via a trust threshold α and proposing a class- and trust-based informed search algorithm that combines deterministic neighbor ranking, class-aware (friendship) selection, Top-K exploration, a hop bound H, and a selective fallback mechanism. This dual control (α and K) is designed to balance reliability and exploration while bounding search depth. We posit and evaluate four hypotheses: (H1) setting [Formula: see text] improves discovery relative to permissive thresholds; (H2) α-filtering with Top-K reduces exploration cost (visited nodes) while preserving short paths and low latency; (H3) increasing K and H boosts success with only moderate latency overhead; and (H4) fallback restores progress under strict trust filtering with limited cost. Experiments on five real-world graphs perform an SIoT-style α-profiling of success, hops, latency, visited nodes, and LCC ratio. The results show that discovery improves from permissive to moderate α and stabilizes near [Formula: see text]; visited nodes decrease as α rises, while hops remain modest and latency low; larger K and H increase success with moderate latency increases; and fallback recovers discovery when strict α yields few eligible neighbors. Runtime measurements indicate that the proposed method is competitive-often fastest on larger graphs-relative to standard graph searches. Overall, the findings validate the hypotheses and demonstrate that a trust- and class-aware, dual-controlled discovery algorithm provides effective, efficient, and robust service discovery in SIoT.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Trust and class aware service discovery with dual control in the social Internet of Things
- Date Crossref
- 03/01/2026
- Éditeur
- Springer Science and Business Media LLC
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Jeonju University Convergence Institute of Human Data Technology pays non établi dans la noticeUniversité ou école supérieure
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Yeungnam University Department of Computer Science pays non établi dans la noticeUniversité ou école supérieure
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Gachon University Department of Computer Engineering pays non établi dans la noticeUniversité ou école supérieure
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Prince Mohammad bin Fahd University Department of Electrical Engineering pays non établi dans la noticeUniversité ou école supérieure
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Opća Bolnica Varaždin pays non établi dans la noticeÉtablissement de santé
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University of Zagreb pays non établi dans la noticeUniversité ou école supérieure
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Faculty of Organization and Informatics pays non établi dans la noticeUniversité ou école supérieure
Convergence Institute of Human Data Technology — Jeonju University, Department of Computer Science — Yeungnam University et Department of Computer Engineering — Gachon University, avec 4 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.