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    Rethinking Blockchain Integration with the Industrial Internet of Things

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    Blockchain_IIT.pdf
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    1.310Mb
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    PDF
    Description:
    Accepted Manuscript
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    Type
    Article
    Authors
    Aslani, Maha
    Amin, Osama
    Nawab, Faisal
    Shihada, Basem cc
    KAUST Department
    Computer, Electrical and Mathematical Sciences and Engineering Division, KAUST
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Computer Science Program
    Date
    2020-12
    Permanent link to this record
    http://hdl.handle.net/10754/667276
    
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    Abstract
    Blockchain is a decentralized technology that protects sensitive data from being controlled by a central authority and can play a vital security role in developing the Industrial Internet of Things (IIoT). Most IIoT-blockchain systems focus on optimizing consensus mechanisms, which cannot provide satisfactory scalability until addressing the inherited problems of the networking infrastructure. Excessive messaging overheads and low networking performance are two critical issues of the current blockchain configurations. Moreover, the well-known architectural models, cloud-centric and fog-centric models, cannot provide acceptable performance in IIoT due to data aggregation and synchronization timing overheads, privacy, and trust issues. As such, we propose two novel blockchain solutions that can fulfill IIoT's strict challenges and requirements. First, the context-aware data-driven solution decreases irrelevant and useless data traffic. Second, the hybrid communications with sec-ond-layer chain solutions partition the data traffic through different communication media and provide better scalability and higher resistance against security issues. Finally, we present a future vision of the next blockchain generation that can fulfill the IIoT predictions.
    Citation
    Aslani, M., Amin, O., Nawab, F., & Shihada, B. (2020). Rethinking Blockchain Integration with the Industrial Internet of Things. IEEE Internet of Things Magazine, 3(4), 70–75. doi:10.1109/iotm.0001.1900079
    Sponsors
    This work is funded by King Abdullah University of Science and Technology and partially funded by NSF grant number CNS-1815212.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Internet of Things Magazine
    DOI
    10.1109/iotm.0001.1900079
    Additional Links
    https://ieeexplore.ieee.org/document/9319634/
    ae974a485f413a2113503eed53cd6c53
    10.1109/iotm.0001.1900079
    Scopus Count
    Collections
    Articles; Computer Science Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

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