Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
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.
References
Kahn, R., Lyons, P.: Representing value as digital objects. J. Telecommun. High Technol. Law 5(1), 189 (2006)
Kahn, R., Wilensky, R.: A framework for distributed digital object services. Int. J. Digit. Libr. 6(2), 115–123 (2006)
Kirichek, R., Koucheryavy, A.: Internet of Things laboratory test bed. In: Zeng, Q.-A. (ed.) Wireless Communications, Networking and Applications. LNEE, vol. 348, pp. 485–494. Springer, New Delhi (2016). https://doi.org/10.1007/978-81-322-2580-5_44
Muthanna, A., Paramonov, A., Koucheryavy, A., Prokopiev, A.: Comparison of protocols for ubiquitous wireless sensor network. In: 6th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops, ICUMT 2014, pp. 334–337 (2014)
Paramonov, A., Koucheryavy, A.: M2M traffic models and flow types in case of mass event detection. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds.) NEW2AN 2014. LNCS, vol. 8638, pp. 294–300. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-10353-2_25
Kirichek, R., Grishin, I., Okuneva, D., Falin, M.: Development of a node-positioning algorithm for wireless sensor networks in 3D space. In: 2016 18th International Conference on Advanced Communication Technology (ICACT), pp. 279–282 (2016)
Kirichek, R., Kulik, V., Koucheryavy, A.: False clouds for Internet of Things and methods of protection. In: 18th International Conference on Advanced Communication Technology, pp. 201–205 (2016)
Berber, F., Yahyapour, R.: A high-performance persistent identifier management protocol. In: 2017 International Conference on Networking, Architecture, and Storage (NAS), pp. 1–10 (2017)
Digital Object Architecture for IoT. http://www.wileyconnect.com/home/2016/11/8/what-governments-decided-on-digital-object-architecture-for-iot. Accessed March 2018
Ahson, S.A., Ilyas, M.: RFID Handbook: Applications, Technology, Security, and Privacy, 712 p. CRC Press, Boca Raton (2017)
Kirichek, R., Vladyko, A., Zakharov, M., Koucheryavy, A.: Model networks for Internet of Things and SDN. In: 18th International Conference on Advanced Communication Technology (ICACT), pp. 76–79 (2016)
Ateya, A.A., Muthanna, A., Gudkova, I., Vybornova, A., Koucheryavy, A.: Intelligent core network for Tactile Internet system. In: Proceedings of the International Conference on Future Networks and Distributed Systems, p. 15 (2017)
Mihovska, A., Sarkar, M.: Smart connectivity for Internet of Things (IoT) applications. In: Yager, R.R., Pascual Espada, J. (eds.) New Advances in the Internet of Things. SCI, vol. 715, pp. 105–118. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-58190-3_7
Lund, D., MacGillivray, C., Turner, V., Morales, M.: Worldwide and regional Internet of Things (IoT) 2014–2020 forecast: a virtuous circle of proven value and demand. International Data Corporation (IDC), Technical report, vol. 1. 29 p. (2014)
Wang, J.: Copyright limitations and exceptions for education and research: unity in diversity. In: Wang, J. (ed.) Conceptualizing Copyright Exceptions in China and South Africa. CLS, vol. 6, pp. 49–89. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-71831-6_3
The DONA Foundation. https://dona.net/. Accessed March 2018
Acknowledgements
The publication has been prepared with the support of the “RUDN University Program 5-100.”
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
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. https://doi.org/10.1007/978-3-030-01168-0_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-01168-0_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01167-3
Online ISBN: 978-3-030-01168-0
eBook Packages: Computer ScienceComputer Science (R0)