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The IoT Identification Procedure Based on the Degraded Flash Memory Sector

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Internet of Things, Smart Spaces, and Next Generation Networks and Systems (ruSMART 2017, NsCC 2017, NEW2AN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 10531))

Abstract

The article presents general principles of IoT identification on the basis of the degraded bucket of NOR flash memory used in network devices for storing microprograms. We proposed the identification procedure based on the sector of forcibly degraded flash memory and considered variants of its application for identifying network devices. The proposed identification method can be used both on the basis of chips already existing in network devices and on the basis of embedded units specially designed for identification.

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Acknowledgments

The publication was financially supported by the Ministry of Education and Science of the Russian Federation (the Agreement number 02.a03.21.0008).

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Authors and Affiliations

  1. The Bonch-Bruevich State University of Telecommunications, St. Petersburg, Russian Federation

    Sergey Vladimirov & Ruslan Kirichek

  2. Peoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St., Moscow, Russian Federation

    Ruslan Kirichek

Authors
  1. Sergey Vladimirov
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  2. Ruslan Kirichek
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Corresponding author

Correspondence to Sergey Vladimirov .

Editor information

Editors and Affiliations

  1. Electronics and Communication Engineering, Tampere University of Technology, Tampere, Finland

    Olga Galinina

  2. Electronics and Communication Engineering, Tampere University of Technology, Tampere, Finland

    Sergey Andreev

  3. FRUCT Oy, Helsinki, Finland

    Sergey Balandin

  4. Tampere University of Technology, Tampere, Finland

    Yevgeni Koucheryavy

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Vladimirov, S., Kirichek, R. (2017). The IoT Identification Procedure Based on the Degraded Flash Memory Sector. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. ruSMART NsCC NEW2AN 2017 2017 2017. Lecture Notes in Computer Science(), vol 10531. Springer, Cham. https://doi.org/10.1007/978-3-319-67380-6_6

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  • DOI: https://doi.org/10.1007/978-3-319-67380-6_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67379-0

  • Online ISBN: 978-3-319-67380-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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