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Trustworthy IoT Computing Environment Based on Layered Blockchain Consensus Framework

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Cloud Computing (CloudComp 2021)

Abstract

The Internet of Things is widely used and has far-reaching significance. It is essential to ensure the trustworthiness of the IoT computing environment. Using blockchain technology to store and manage the data traces in the IoT is feasible to implement the trustworthy IoT. In a “Cloud-Edge-End” structure, the difference in the degree of energy constraint between various parts makes the use of the same consensus algorithm a compromise between overall performance degradation and energy constraints on terminal devices. We take advantage of the high modularity of the chained consensus algorithm to build a layered consensus mechanism framework, running a two-phase consensus algorithm in the local environment of the terminal devices, and a three-phase consensus algorithm with better overall performance. Preliminary evaluation shows that this scheme is feasible.

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Acknowledgements

This work has been supported by the Project of National Natural Science Foundation of China under Grant No. 61702442 and 61862065, the Application Basic Research Project in Yunnan Province Grant No. 2018FB105, the Major Project of Science and Technology of Yunnan Province under Grant No. 202002AD080002 and No. 2019ZE005, the Project of Scientific Research Foundation of Yunnan Department of Education under Grant No.2017ZZX212.

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Correspondence to Fei Dai .

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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Dong, Y., Dai, F., Qin, M. (2022). Trustworthy IoT Computing Environment Based on Layered Blockchain Consensus Framework. In: Khosravi, M.R., He, Q., Dai, H. (eds) Cloud Computing. CloudComp 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 430. Springer, Cham. https://doi.org/10.1007/978-3-030-99191-3_13

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  • DOI: https://doi.org/10.1007/978-3-030-99191-3_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-99190-6

  • Online ISBN: 978-3-030-99191-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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