Um, TW, Lee, E, Lee, GM and Yoon, Y (2019) Design and Implementation of a Trust Information Management Platform for Social Internet of Things Environments. Sensors, 19 (21). ISSN 1424-8220
|
Text
sensors-19-04707-v2.pdf - Published Version Available under License Creative Commons Attribution. Download (7MB) | Preview |
Abstract
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 used in various application fields. The trust between the 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 very 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 them. 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. Then, a Trust Information Management Platform (TIMP) consisting of trust agents, trust information brokers and trust information management systems is proposed, which aims to provide trustworthy and safe interactions among people, virtual objects, and physical things. Implementing and deploying TIMP enable to build a trustworthy ecosystem while activating social IoT businesses by reducing the transaction costs as well as by eliminating the uncertainties in the use of social IoT services and data transactions.
Item Type: | Article |
---|---|
Uncontrolled Keywords: | 0502 Environmental Science and Management, 0602 Ecology, 0301 Analytical Chemistry, 0906 Electrical and Electronic Engineering |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
Divisions: | Computer Science & Mathematics |
Publisher: | MDPI AG |
Date Deposited: | 28 Oct 2019 08:51 |
Last Modified: | 23 Aug 2022 11:30 |
DOI or ID number: | 10.3390/s19214707 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/11647 |
View Item |