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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sazonov, D., Kirichek, R., Borodin, A.: Implementation of authentication and authorization system based on digital object architecture. In: 11TH International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT) (2019)
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
Sazonov, D., Kirichek, R.: Identification system model for energy-efficient long range mesh network based on digital object architecture. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds.) DCCN 2020. CCIS, vol. 1337, pp. 497–509. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-66242-4_39
Wang, H., Yu, X., Peng, J., Zhang, L., Xu, T.: Design of power material management system basing on Internet of Things identification and blockchain. In: 2020 IEEE Conference on Telecommunications, Optics and Computer Science (TOCS), pp. 160–163 (2020)
Kirks, T., Uhlott, T., Jost, J.: The use of blockchain technology for private data handling for mobile agents in human-technology interaction. In: 2019 IEEE International Conference on Cybernetics and Intelligent Systems (CIS) and IEEE Conference on Robotics, Automation and Mechatronics (RAM), pp. 445–450 (2019)
Mohammed, M.H.S.: A hybrid framework for securing data transmission in Internet of Things (IoTs) environment using blockchain approach. In: 2021 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS), pp. 1–10 (2021)
Roopak, T.M., Sumathi, R.: Electronic voting based on virtual ID of Aadhar using blockchain technology. In: 2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA), pp. 71–75 (2020)
Chalaemwongwan, N., Kurutach, W.: A practical national digital ID framework on blockchain (NIDBC). In: 15th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 497–500 (2018)
Choi, N., Kim, H.: Hybrid blockchain-based unification ID in smart environment. In: 22nd International Conference on Advanced Communication Technology (ICACT), pp. 166–170 (2020)
Kshetri, N., Voas, J.: Blockchain-enabled e-voting. IEEE Softw. 35(4), 95–99 (2018)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
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
Download citation
DOI: https://doi.org/10.1007/978-3-030-92507-9_10
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-92506-2
Online ISBN: 978-3-030-92507-9
eBook Packages: Computer ScienceComputer Science (R0)