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Identification Method for Endpoint Devices on Low-Power Wide-Area Networks Using Digital Object Architecture with Blockchain Technology Integration

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Distributed Computer and Communication Networks: Control, Computation, Communications (DCCN 2021)

Abstract

The paper explores the possibility of interaction between the architecture of digital objects, as an identification system for endpoint devices on Low-Power Wide-Area Networks, and blockchain technology, as a particular case of using distributed ledger technologies. The work covered the organization of the blockchain network, the architecture of the model stand developed, as well as a number of studies reflecting the results of the interaction of the identification system with the blockchain network in terms of the time of creation of an entity in LHS and the record thereof in the blockchain network, as well as the time of response of the blockchain network in case of query of data from it. As part of this work, the blockchain network acts as a tool to log all the changes of the identification system in order to prevent counterfeiting and substitution of the identification data of devices and sensors of the Internet of Things.

The publication has been prepared with the support of the grant from the President of the Russian Federation for state support of leading scientific schools of the Russian Federation according to the research project SS-2604.2020.9.

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Pomogalova, A., Sazonov, D., Donskov, E., Borodin, A., Kirichek, R. (2021). Identification Method for Endpoint Devices on Low-Power Wide-Area Networks Using Digital Object Architecture with Blockchain Technology Integration. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds) Distributed Computer and Communication Networks: Control, Computation, Communications. DCCN 2021. Lecture Notes in Computer Science(), vol 13144. Springer, Cham. https://doi.org/10.1007/978-3-030-92507-9_10

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  • DOI: https://doi.org/10.1007/978-3-030-92507-9_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-92506-2

  • Online ISBN: 978-3-030-92507-9

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