Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/23666
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Shi, D | - |
dc.contributor.author | Zhang, X | - |
dc.contributor.author | Shi, L | - |
dc.contributor.author | Vladimirescu, A | - |
dc.contributor.author | Mazurczyk, W | - |
dc.contributor.author | Cabaj, K | - |
dc.contributor.author | Meunier, B | - |
dc.contributor.author | Ali, K | - |
dc.contributor.author | Cosmas, J | - |
dc.contributor.author | Zhang, Y | - |
dc.date.accessioned | 2021-12-02T14:39:02Z | - |
dc.date.available | 2021-12-02T14:39:02Z | - |
dc.date.issued | 2021-02-22 | - |
dc.identifier | 1515 | - |
dc.identifier.citation | Shi, D., Zhang, X., Shi, L., Vladimirescu, A., Mazurczyk, W., Cabaj, K., Meunier, B., Ali, K., Cosmas, J. and Zhang, Y. (2021) ‘On Improving 5G Internet of Radio Light Security Based on LED Fingerprint Identification Method’, Sensors, 21 (4), 1515, pp. 1 - 11. doi: 10.3390/s21041515. | en_US |
dc.identifier.uri | http://bura.brunel.ac.uk/handle/2438/23666 | - |
dc.description.abstract | Copyright: © 2021 by the authors. In this paper, a novel device identification method is proposed to improve the security of Visible Light Communication (VLC) in 5G networks. This method extracts the fingerprints of Light-Emitting Diodes (LEDs) to identify the devices accessing the 5G network. The extraction and identification mechanisms have been investigated from the theoretical perspective as well as verified experimentally. Moreover, a demonstration in a practical indoor VLC-based 5G network has been carried out to evaluate the feasibility and accuracy of this approach. The fingerprints of four identical white LEDs were extracted successfully from the received 5G NR (New Radio) signals. To perform identification, four types of machine-learning-based classifiers were employed and the resulting accuracy was up to 97.1%. | en_US |
dc.description.sponsorship | EU Horizon 2020 program towards the Internet of Radio-Light project H2020-ICT 761992. | en_US |
dc.format.extent | 1 - 11 | - |
dc.format.medium | Electronic | - |
dc.language.iso | en_US | en_US |
dc.publisher | MDPI AG | en_US |
dc.rights | Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | visible light communication | en_US |
dc.subject | LED fingerprint | en_US |
dc.subject | 5G networks | en_US |
dc.subject | security | en_US |
dc.title | On improving 5G internet of radio light security based on led fingerprint identification method | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.3390/s21041515 | - |
dc.relation.isPartOf | Sensors | - |
pubs.issue | 4 | - |
pubs.publication-status | Published | - |
pubs.volume | 21 | - |
dc.identifier.eissn | 1424-8220 | - |
Appears in Collections: | Dept of Electronic and Electrical Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
FullText.pdf | 4.73 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License