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2018 IEEE 34th International Conference on Data Engineering (ICDE) (2018)
Paris, France
Apr 16, 2018 to Apr 19, 2018
ISSN: 2375-026X
ISBN: 978-1-5386-5520-7
pp: 1825-1826
Establishing trustworthy relationships among the objects greatly improves the effectiveness of node interaction in the social Internet of Things (IoT). It helps nodes overcome perceptions of uncertainty and risk. However, there are limitations in the existing trust models. In this paper, a comprehensive model of trust is proposed that is tailored to the social IoT. The model includes ingredients such as trustor, trustee, goal, trustworthiness evaluation, decision, action, result, and context. Building on this trust model, we clarify the concepts of trust in the social IoT in five aspects such as: (1) mutuality of trustor and trustee; (2) inferential transfer of trust; (3) transitivity of trust; (4) trustworthiness update; and (5) trustworthiness affected by dynamic environment. With network connectivities that are from real-world social networks, simulations are conducted to evaluate the performance of the social IoT operated with the proposed trust model. An experimental IoT network is used to further validate the proposed trust model.
Internet of Things, social networking (online), trusted computing

Z. Lin and L. Dong, "Clarifying Trust in Social Internet of Things (Extended Abstract)," 2018 IEEE 34th International Conference on Data Engineering (ICDE), Paris, France, 2018, pp. 1825-1826.
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