Chidambaram, Gokulnath and Subbarayappa, Shreyanka and Magapu, Sai Baba
(2025)
Designing a Socially Driven Protocol for the Social Internet of Things (SloT) and Bridging Technical Design with Public Perception.
In: 2025 IEEE 7th PhD Colloquium on Emerging Domain Innovation and Technology for Society (PhD EDITS), 10-12 November 2025, Bangalore, India.
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| Abstract: |
This work introduces a seven-layer Social Internet of Things (SIoT) protocol that links human relational principles with machine-to-machine cooperation. The design draws inspiration from Knapp’s relational framework, guiding devices from initial discovery to trusted interaction. Peer discovery uses epidemic-style dissemination, capability exchange is performed through gRPC channels, and trust values are updated using a PageRank-based scoring mechanism. Experiments with ten nodes in a Docker environment show trust-graph creation below 50ms and convergence in no more than five iterations. A hardware deployment using RaspberryPi, JetsonNano, and Windows systems records trust evaluation times of 7–9ms. A survey of 204 participants highlights high expectations for privacy (83%), ethical behavior (82%), and regulatory oversight (78%), demonstrating alignment between technical behavior and public expectations. Overall, the results demonstrate a practical and socially directed trust formation model for heterogeneous IoT environments. |
| Item Type: |
Conference or Workshop Item
(Paper)
|
| Keywords: |
Ethical IoT,gRPC communication,Gossip protocols,PageRank-based trust,Social Internet of Things (SIoT),Trust management |
| Subjects: |
School of Natural and Engineering Sciences
School of Natural and Engineering Sciences > Science, Technology, Society |
| Divisions: |
Schools > Natural Sciences and Engineering |
| Date Deposited: |
25 May 2026 05:36 |
| Last Modified: |
25 May 2026 05:36 |
| Official URL: |
https://ieeexplore.ieee.org/document/11288990 |
| Related URLs: |
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| Funders: |
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| Projects: |
* |
| DOI: |
https://doi.org/10.1109/PhDEDITS68563.2025.11288990 |
| URI: |
http://eprints.nias.res.in/id/eprint/3373 |
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