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Clarifying Trust in Social Internet of Things

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TLDR
In this paper, a comprehensive model of trust is proposed that is tailored to the social IoT, which includes ingredients such as trustor, trustee, goal, trustworthiness evaluation, decision, action, result, and context.
Abstract
A social approach can be exploited for the Internet of Things (IoT) to manage a large number of connected objects. These objects operate as autonomous agents to request and provide information and services to users. Establishing trustworthy relationships among the objects greatly improves the effectiveness of node interaction in the social IoT and 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 concept 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, a series of 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.

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Citations
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Journal ArticleDOI

Trust management in social Internet of Things: A taxonomy, open issues, and challenges

TL;DR: An elaborated view of trust management among these objects with a focus on SIoT is provided by comparing different existing trust management schemes based on the trust management process, parameters chosen for trust evaluation, characteristics of trust functions and objectives achieved by them.
Journal ArticleDOI

Trust management in social Internet of vehicles: Factors, challenges, blockchain, and fog solutions:

TL;DR: A brief review of the trust models that have the potential to be implemented in Social Internet of vehicles and an overview of how trending concepts and emerging technologies like blockchain and fog computing can assist in developing a trust-based social Internet of Vehicles model for high-efficiency, decentralized architecture and dynamic nature of vehicular networks.
Journal ArticleDOI

Trust-based recommendation systems in Internet of Things: a systematic literature review

TL;DR: This paper presents a systematic literature review (SLR) of trust based IoT recommendation techniques so far and detailed classifications based on extracted parameters as well as investigation existing techniques in three different IoT layers put forth.
Journal ArticleDOI

CTRUST: A Dynamic Trust Model for Collaborative Applications in the Internet of Things

TL;DR: In this paper, a new model, CTRUST, is proposed to resolve the shortcomings of trust decay and maturity in existing models, and trust decay is inadequately modeled in most current models, thus increasing the effect of bad recommendations.
Journal ArticleDOI

Improving IoT Technology Adoption through Improving Consumer Trust

TL;DR: A conceptual trust model that encompasses the major factors affecting trust towards IoT technology adoption has been presented and can assist researchers to further investigate the trust issues and create a trustworthy literature to guide IoT products’ development and marketing strategies that are focused on the consumer’s requirements.
References
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