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Testbed for Identify IoT-Devices Based on Digital Object Architecture

Part of the Lecture Notes in Computer Science book series (LNCCN,volume 11118)


Currently, the methods of identification of devices of the Internet of things are one of the main topics due to the increase in the number of devices connected to the Internet. The use of a large number of heterogeneous physical and logical identifiers led to the fact that there were instances of their falsification, which threatens many vital processes. This article describes the architectural network model of a software and hardware complex for IoT device identification. Using the digital object architecture (DOA), it is possible to implement any of the heterogeneous identifiers to create a unique IoT snapshot of the device and store it with a unique global identifier. The article presents a method and developed the software-hardware system for enabling and facilitating the use of DOA for Identify IoT-devices. It is also proposed to develop a software and hardware complex for testing the identification procedure of “smart” devices using.


  • DOA
  • Identification
  • Internet of Things
  • Handle
  • Counterfeit
  • Prefix
  • Suffix

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Change history

  • 16 December 2018

    The acknowledgement section of this paper originally stated that “the work was supported by RUDN University Program 5-100.” The reference to this was modified to “the publication has been prepared with the support of the RUDN University Program 5-100” in the acknowledgement section at the request of the volume editor.


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The publication has been prepared with the support of the “RUDN University Program 5-100.”

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Correspondence to Mahmood Al-Bahri .

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Al-Bahri, M., Yankovsky, A., Borodin, A., Kirichek, R. (2018). Testbed for Identify IoT-Devices Based on Digital Object Architecture. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN ruSMART 2018 2018. Lecture Notes in Computer Science(), vol 11118. Springer, Cham.

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  • Print ISBN: 978-3-030-01167-3

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