Channel-envelope differencing eliminates secret key correlation: LoRa-based key generation in low power wide area networks
Channel-envelope differencing eliminates secret key correlation: LoRa-based key generation in low power wide area networks
This paper presents automatic key generation for long-range wireless communications in low power wide area networks (LPWANs), employing LoRa as a case study. Differential quantization is adopted to extract a high level of randomness. Experiments conducted both in an outdoor urban environment and in an indoor environment demonstrate that this key generation technique is applicable for LPWANs, and shows that it is able to reliably generate secure keys.
Zhang, Junqing
ce554db5-7b95-4395-a0af-669c47eb5777
Marshall, Alan
31ff2742-5c5c-477d-832c-fa8e15643a13
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Junqing
ce554db5-7b95-4395-a0af-669c47eb5777
Marshall, Alan
31ff2742-5c5c-477d-832c-fa8e15643a13
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Junqing, Marshall, Alan and Hanzo, Lajos
(2018)
Channel-envelope differencing eliminates secret key correlation: LoRa-based key generation in low power wide area networks.
IEEE Transactions on Vehicular Technology.
(doi:10.1109/TVT.2018.2877201).
(In Press)
Abstract
This paper presents automatic key generation for long-range wireless communications in low power wide area networks (LPWANs), employing LoRa as a case study. Differential quantization is adopted to extract a high level of randomness. Experiments conducted both in an outdoor urban environment and in an indoor environment demonstrate that this key generation technique is applicable for LPWANs, and shows that it is able to reliably generate secure keys.
Text
final
- Accepted Manuscript
More information
Accepted/In Press date: 17 October 2018
Identifiers
Local EPrints ID: 425438
URI: http://eprints.soton.ac.uk/id/eprint/425438
ISSN: 0018-9545
PURE UUID: dbe8306e-90ed-4b8a-a4a7-4ced30ccf737
Catalogue record
Date deposited: 19 Oct 2018 16:30
Last modified: 16 Mar 2024 02:37
Export record
Altmetrics
Contributors
Author:
Junqing Zhang
Author:
Alan Marshall
Author:
Lajos Hanzo
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics