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Towards Blockchain-Enabled Security Technique for Industrial Internet of Things Based Decentralized Applications

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Abstract

As the Industrial Internet of Things (IIoT) is one of the emerging trends and paradigm shifts to revolutionize the traditional industries with the fourth wave of evolution or transform it into Industry 4.0. This all is merely possible with the sensor-enabled technologies, e.g., wireless sensor networks (WSNs) in various landscapes, where security provisioning is one of the significant challenges for miniaturized power hungry networks. Due to the increasing demand for the commercial Internet of things (IoT) devices, smart devices are also extensively adopted in industrial applications. If these devices are compromising the date/information, then there will be a considerable loss and critical issues, unlike information compromising level by the commercial IoT devices. So emerging industrial processes and smart IoT based methods in medical industries with state-of-the-art blockchain security techniques have motivated the role of secure industrial IoT. Also, frequent changes in android technology have increased the security of the blockchain-based IIoT system management. It is very vital to develop a novel blockchain-enabled cyber-security framework and algorithm for industrial IoT by adopting random initial and master key generation mechanisms over long-range low-power wireless networks for fast encrypted data processing and transmission. So, this paper has three remarkable contributions. First, a blockchain-driven secure, efficient, reliable, and sustainable algorithm is proposed. It can be said that the proposed solution manages keys randomly by introducing the chain of blocks with less power drain, a small number of cores, will slightly more communication and computation bits. Second, an analytic hierarchy process (AHP) based intelligent decision-making approach for the secure, concurrent, interoperable, sustainable, and reliable blockchain-driven IIoT system. AHP based solution helps the industry experts to select the more relevant and critical parameters such as (reliability in-line with a packet loss ratio), (convergence in mapping with delay), and (interoperability in association with throughput) for improving the yield of the product in the industry. Third, sustainable technology-oriented services are supporting to propose the novel cloud-enabled framework for the IIoT platform for regular monitoring of the products in the industry. Moreover, experimental results reveal that proposed approach is a potential candidate for the blockchain-driven IIoT system in terms of reliability, convergence, and interoperability with a strong foundation to predict the techniques and tools for the regulation of the adaptive system from Industry 4.0 aspect.

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Acknowledgments

This work is supported by Research grant of PIFI 2020 (2020VBC0002), Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences (SIAT,CAS), Shenzhen, China, and in part by Electrical Engineering Department, Sukkur IBA University, Sukkur, Sindh, Pakistan. It is also supported by the PR China Ministry of Education Distinguished Professor at the University of Science and Technology Beijing grant. Also partially supported by Operação Centro-01-0145-FEDER-000019–C4-Centro de Competências em Cloud Computing, co-financed by the Programa Operacional Regional do Centro (CENTRO 2020), through the Sistema de Apoio à Investigação Científica e Tecnológica– Programas Integrados de IC&DT. This work was also supported in part by the Technologies and Equipment Guangdong Education Bureau Fund under Grant 2017KTSCX166, in part by the Science and Technology Innovation Committee Foundation of Shenzhen under Grant JCYJ201708171 12037041, in part by the Science and Technology Innovation Committee Foundation of Shenzhen under Grant ZDSYS201703031748284002E.

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Authors and Affiliations

  1. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China

    Ali Hassan Sodhro

  2. Electrical Engineering Department, Sukkur IBA University, Sukkur, 65200, Pakistan

    Ali Hassan Sodhro

  3. IDA-Computer and Information Science Department, Linkoping University, 58183, Linkoping, Sweden

    Ali Hassan Sodhro

  4. Department of Computer Science, Universidade da Beira Interior (UBI), Covilhã, Portugal

    Sandeep Pirbhulal

  5. Department of Computer Science, Bahria University, Islamabad, Pakistan

    Muhammad Muzammal

  6. Division of Science and Technology, United International College, BNU-HKBU, Zhuihai, Guangdong, 519085, China

    Luo Zongwei

  7. The Key Lab of Guangdong Province on Brain-like Intelligent Computing, Department of the Computer Science and Engineering, Southern University of Science and Technology, Shenzhen, 518055, China

    Luo Zongwei

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  1. Ali Hassan Sodhro
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  2. Sandeep Pirbhulal
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  4. Luo Zongwei
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Correspondence to Sandeep Pirbhulal or Luo Zongwei.

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Sodhro, A.H., Pirbhulal, S., Muzammal, M. et al. Towards Blockchain-Enabled Security Technique for Industrial Internet of Things Based Decentralized Applications. J Grid Computing 18, 615–628 (2020). https://doi.org/10.1007/s10723-020-09527-x

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