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      Multi-Layer Blockchain-Based Security Architecture for Internet of Things

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          Abstract

          The proliferation of smart devices in the Internet of Things (IoT) networks creates significant security challenges for the communications between such devices. Blockchain is a decentralized and distributed technology that can potentially tackle the security problems within the 5G-enabled IoT networks. This paper proposes a Multi layer Blockchain Security model to protect IoT networks while simplifying the implementation. The concept of clustering is utilized in order to facilitate the multi-layer architecture. The K-unknown clusters are defined within the IoT network by applying techniques that utillize a hybrid Evolutionary Computation Algorithm while using Simulated Annealing and Genetic Algorithms. The chosen cluster heads are responsible for local authentication and authorization. Local private blockchain implementation facilitates communications between the cluster heads and relevant base stations. Such a blockchain enhances credibility assurance and security while also providing a network authentication mechanism. The open-source Hyperledger Fabric Blockchain platform is deployed for the proposed model development. Base stations adopt a global blockchain approach to communicate with each other securely. The simulation results demonstrate that the proposed clustering algorithm performs well when compared to the earlier reported approaches. The proposed lightweight blockchain model is also shown to be better suited to balance network latency and throughput as compared to a traditional global blockchain.

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

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            Energy-efficient communication protocol for wireless microsensor networks

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              IoT security: Review, blockchain solutions, and open challenges

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                24 January 2021
                February 2021
                : 21
                : 3
                : 772
                Affiliations
                [1 ]Department of Mechanical and Electrical Engineering, Massey University, Auckland 0632, New Zealand; M.A.Rashid@ 123456massey.ac.nz (M.R.); F.Alam@ 123456massey.ac.nz (F.A.)
                [2 ]School of Science and Technology, Sunway University, Selangor 47500, Malaysia; SDemidenko@ 123456Sunway.edu.my
                Author notes
                [* ]Correspondence: h.pajooh@ 123456massey.ac.nz
                Author information
                https://orcid.org/0000-0002-0365-2958
                https://orcid.org/0000-0002-0844-5819
                https://orcid.org/0000-0002-2455-3131
                https://orcid.org/0000-0001-9883-9311
                Article
                sensors-21-00772
                10.3390/s21030772
                7865640
                33498860
                fe1642fe-09c7-45b5-874c-b8aaa8f4b739
                © 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
                : 31 October 2020
                : 20 January 2021
                Categories
                Article

                Biomedical engineering
                internet of things,blockchain,hyperledger fabric,evolutionary clustering,security,scalability,authorization

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