Design and Implementation of a Trust Information Management Platform for Social Internet of Things Environments.

Autor: Um TW; Department of Information and Communication Engineering, Chosun University, Gwangju 61452, Korea. twum@chosun.ac.kr., Lee E; School of IT Engineering, Sookmyung Women's University, Seoul 04310, Korea. eunhee@iitp.kr., Lee GM; Department of Computer Science, Liverpool John Moores University, Liverpool L3 3AF, UK. g.m.lee@ljmu.ac.uk., Yoon Y; School of IT Engineering, Sookmyung Women's University, Seoul 04310, Korea. yiyoon@sm.ac.kr.
Jazyk: angličtina
Zdroj: Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 Oct 29; Vol. 19 (21). Date of Electronic Publication: 2019 Oct 29.
DOI: 10.3390/s19214707
Abstrakt: As the vast amount of data in social Internet of Things (IoT) environments considering interactions between IoT and people is accumulated and processed through cloud and big data technologies, the services that utilize them are applied in various fields. The trust between IoT devices and their data is recognized as the core of IoT ecosystem creation and growth. Connection with suspicious IoT devices may pose a risk to services and system operation. Therefore, it is essential to analyze and manage trust information for devices, services, and people, as well as to provide the trust information to the other devices or users that need it. This paper presents a trust information management framework which contains a generic IoT reference model with trust capabilities to achieve the goal of converged trust information management. Additionally, a trust information management platform (TIMP) consisting of trust agents, trust information brokers, and trust information management systems has been proposed, which aims to provide trustworthy and safe interactions among people, virtual objects, and physical things. Implementing and deploying a TIMP enables a trustworthy ecosystem to be built while activating social IoT businesses by reducing transaction costs, as well as by eliminating the uncertainties in the use of social IoT services and data transactions.
Competing Interests: The authors declare that there is no conflict of interest regarding the publication of this paper.
Databáze: MEDLINE
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