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      A Blockchain-Based Trusted Edge Platform in Edge Computing Environment

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          Abstract

          Edge computing is a product of the evolution of IoT and the development of cloud computing technology, providing computing, storage, network, and other infrastructure close to users. Compared with the centralized deployment model of traditional cloud computing, edge computing solves the problems of extended communication time and high convergence traffic, providing better support for low latency and high bandwidth services. With the increasing amount of data generated by users and devices in IoT, security and privacy issues in the edge computing environment have become concerns. Blockchain, a security technology developed rapidly in recent years, has been adopted by many industries, such as finance and insurance. With the edge computing capability, deploying blockchain platforms/applications on edge computing platforms can provide security services for network edge environments. Although there are already solutions for integrating edge computing with blockchain in many IoT application scenarios, they slightly lack scalability, portability, and heterogeneous data processing. In this paper, we propose a trusted edge platform to integrate the edge computing framework and blockchain network for building an edge security environment. The proposed platform aims to preserve the data privacy of the edge computing client. The design based on the microservice architecture makes the platform lighter. To improve the portability of the platform, we introduce the Edgex Foundry framework and design an edge application module on the platform to improve the business capability of Edgex. Simultaneously, we designed a series of well-defined security authentication microservices. These microservices use the Hyperledger Fabric blockchain network to build a reliable security mechanism in the edge environment. Finally, we build an edge computing network using different hardware devices and deploy the trusted edge platform on multiple network nodes. The usability of the proposed platform is demonstrated by testing the round-trip time (RTT) of several important workflows. The experimental results demonstrate that the platform can meet the availability requirements in real-world usage scenarios.

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          Most cited references28

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          Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications

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            Edge Computing: Vision and Challenges

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              Stimulus information as a determinant of reaction time.

              Ray Hyman (1953)
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                18 March 2021
                March 2021
                : 21
                : 6
                : 2126
                Affiliations
                Laboratory of Information Photonics and Optical Communications, School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China; luchangqi@ 123456bupt.edu.cn (C.L.); cheng_gang@ 123456bupt.edu.cn (G.C.); guotengbupt@ 123456163.com (T.G.); jian.kang@ 123456bupt.edu.cn (J.K.); xzhang@ 123456bupt.edu.cn (X.Z.); yuanxg@ 123456bupt.edu.cn (X.Y.); xyan@ 123456bupt.edu.cn (X.Y.)
                Author notes
                Author information
                https://orcid.org/0000-0003-0304-0537
                https://orcid.org/0000-0002-5789-7854
                https://orcid.org/0000-0002-7277-7092
                https://orcid.org/0000-0002-7719-0792
                Article
                sensors-21-02126
                10.3390/s21062126
                8003011
                5e58cbe1-f971-48f7-9b98-afe27a972a2a
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 22 February 2021
                : 16 March 2021
                Categories
                Article

                Biomedical engineering
                edge computing,blockchain,microservice,internet of things
                Biomedical engineering
                edge computing, blockchain, microservice, internet of things

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