Skip to main content
SpringerLink
Log in

Blockchain-Driven Hybrid Model for IoT Authentication

  • Conference paper
  • First Online:
Internet of Things, Smart Spaces, and Next Generation Networks and Systems (NEW2AN 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13772))

Included in the following conference series:

  • 507 Accesses

Abstract

The Internet of Things has the potential to play a significant part in the ongoing Industrial Revolution. Machines, devices, and sensors are able to connect and communicate with each other via networks. These Internet of Things devices generate an enormous amount of data that is sensitive to privacy and security. For this reason, the security of these devices is of the utmost importance to guarantee the system’s reliability and efficiency. It has been suggested that one efficient way to increase the safety of authentication for Internet of Things networks is to use blockchain technology for the purpose of authenticating users and devices on those networks. The purpose of this study is to conduct research and make a proposal for a blockchain-driven hybrid model for the Internet of Things authentication. This model is intended to be an improvement based on previously developed models and has shown promising results on the Ganache blockchain.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    https://www.ericsson.com/en/about-us/company-facts/ericsson-worldwide/india/authored-articles/ushering-in-A-better-connected-future.

  2. 2.

    https://www.businesswire.com/news/home/20190618005012/en/The-Growth-in-Connected-IoT-Devices-is-Expected-to-Generate-79.4ZB-of-Data-in-2025-According-to-A-New-IDC-Forecast.

  3. 3.

    https://trufflesuite.com/ganache/.

References

  1. Reyna, A., Martín, C., Chen, J., Soler, E., Díaz, M.: On blockchain and its integration with IoT. Challenges and opportunities. Future Gener. Comput. Syst. 88, 173–190 (2018)

    Article  Google Scholar 

  2. Janarthanan, T., Bagheri, M., Zargari, S.: IoT Forensics: an overview of the current issues and challenges. In: Montasari, R., Jahankhani, H., Hill, R., Parkinson, S. (eds.) Digital Forensic Investigation of Internet of Things (IoT) Devices. ASTSA, pp. 223–254. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-60425-7_10

    Chapter  Google Scholar 

  3. El-Hajj, M., Fadlallah, A., Chamoun, M., Serhrouchni, A.: A survey of internet of things (IoT) authentication schemes. Sensors 19(5), 1141, 1–43 (2019)

    Google Scholar 

  4. Sazonov, D., Kirichek, R.: Digital object architecture as an approach to identifying Internet of Things devices. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds.) DCCN 2019. CCIS, vol. 1141, pp. 597–611. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-36625-4_48

    Chapter  Google Scholar 

  5. Al-Bahri, M., Ruslan, K., Aleksey, B.: Integrating internet of things with the digital object architecture. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN ruSMART 2019. LNCS, vol. 11660, pp. 540–547. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30859-9_47

    Chapter  Google Scholar 

  6. Pomogalova, A., Sazonov, D., Donskov, E., Borodin, A., Kirichek, R.: 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.) DCCN 2021. LNCS, vol. 13144, pp. 103–114. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-92507-9_10

    Chapter  Google Scholar 

  7. Vladimirov, S., Kirichek, R.: The IoT identification procedure based on the degraded flash memory sector. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) ruSMART NsCC NEW2AN 2017. LNCS, vol. 10531, pp. 66–74. Springer, Cham (2017)

    Chapter  Google Scholar 

  8. Vladimirov, S.S., Pirmagomedov, R., Kirichek, R., Koucheryavy, A.: Unique degradation of flash memory as an identifier of ICT device. IEEE Access 7, 107626–107634 (2019)

    Article  Google Scholar 

  9. Al-Bahri, M., Yankovsky, A., Borodin, A., Kirichek, R.: Testbed for identify IoT-devices based on digital object architecture. In: Galinina, O., Andreev, S., Balandin, S., Koucheryavy, Y. (eds.) NEW2AN ruSMART 2018. LNCS, vol. 11118, pp. 129–137. Springer, Cham (2018)

    Chapter  Google Scholar 

  10. Nakamoto, S.: Bitcoin: a peer-to-peer electronic cash system. Decentralized Bus. Rev. 21260 (2008)

    Google Scholar 

  11. Mohanta, B.K., Panda, S.S., Jena, D.: An overview of smart contract and use cases in blockchain technology. In: 2018 9th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1–4. IEEE (2018)

    Google Scholar 

  12. Amanlou, S., Hasan, M.K., Bakar, K.A.A.: Lightweight and secure authentication scheme for IoT network based on publish–subscribe fog computing model. Comput. Netw. 199, 108465 (2021)

    Article  Google Scholar 

  13. Li, D., Peng, W., Deng, W., Gai, F.: A blockchain-based authentication and security mechanism for IoT. In: 2018 27th International Conference on Computer Communication and Networks (ICCCN), pp. 1–6 (2018)

    Google Scholar 

  14. Almadhoun, R., Kadadha, M., Alhemeiri, M., Alshehhi, M., Salah, K.: A user authentication scheme of IoT devices using blockchain-enabled fog nodes. In: 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA), pp. 1–8 (2018)

    Google Scholar 

  15. Yavari, M., Safkhani, M., Kumari, S., Kumar, S., Chen, C.M.: An improved blockchain-based authentication protocol for IoT network management. Secur. Commun. Netw. 2020, 1–16 (2020)

    Article  Google Scholar 

  16. Kabir, R., Hasan, A.T., Islam, M.R., Watanobe, Y.: A blockchain-based approach to secure cloud connected IoT devices. In: 2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD), pp. 366–370. IEEE (2021)

    Google Scholar 

  17. Yang, X., Yang, X., Yi, X., et al.: Blockchain-based secure and lightweight authentication for internet of things. IEEE Internet Things J. 9(5), 3321–3332 (2021)

    Article  Google Scholar 

  18. Gong-Guo Z., Wan Z.: Blockchain-based IoT security authentication system. In: 2021 International Conference on Computer, Blockchain and Financial Development (CBFD), pp. 415–418. IEEE (2021)

    Google Scholar 

Download references

Acknowledgements

The study was financially supported by the Russian Science Foundation within of scientific project No. 22-49-02023 “Development and study of methods for obtaining the reliability of tethered high-altitude unmanned telecommunication platforms of a new generation”.

Author information

Authors and Affiliations

  1. Posts and Telecommunications Institute of Technology, Hanoi, Vietnam

    Truong Duy Dinh

  2. University of Science and Technology – The University of Danang, Danang, Vietnam

    Tran Duc Le & Khanh Quoc Dang

  3. V. A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russia

    Vladimir Vishnevsky

  4. The Bonch-Bruevich Saint Petersburg State University of Telecommunications, Saint Petersburg, Russia

    Ruslan Kirichek

Authors
  1. Truong Duy Dinh
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tran Duc Le
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Khanh Quoc Dang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Vladimir Vishnevsky
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Ruslan Kirichek
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Truong Duy Dinh .

Editor information

Editors and Affiliations

  1. Tampere University, Tampere, Finland

    Yevgeni Koucheryavy

  2. Tashkent State University of Economics, Tashkent, Uzbekistan

    Ahmed Aziz

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Dinh, T.D., Le, T.D., Dang, K.Q., Vishnevsky, V., Kirichek, R. (2023). Blockchain-Driven Hybrid Model for IoT Authentication. In: Koucheryavy, Y., Aziz, A. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2022. Lecture Notes in Computer Science, vol 13772. Springer, Cham. https://doi.org/10.1007/978-3-031-30258-9_50

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-30258-9_50

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-30257-2

  • Online ISBN: 978-3-031-30258-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation