LoRaWAN Performance Evaluation and Resilience under Jamming Attacks

Vaia Kalokidou*, Manish Nair, Mark A Beach

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

2 Citations (Scopus)
162 Downloads (Pure)

Abstract

There is an increasing deployment of Internet-of-Things (IoT) networks, from smart meters and smart lighting to humidity soil sensors and medical wearable devices. Long Range (LoRa) is one such over-the-air (OTA) transmission IoT standard, having a wide range of applications in smart cities, agriculture and health. It facilitates the inter-connection of services and smooth exchange of information. However, owing to its wireless interface, it is susceptible, as all wireless networks are, to OTA attacks. In this paper, we initially obtain the Bit Error Rate (BER) and Packet Error Rate (PER) of LoRa, in order to investigate the impact of continuous and reactive jamming attacks on it. We show that overall, LoRa can achieve a good performance even under a jamming attack, subject to parameters such as the transmit power, the Spreading Factor (SF) and the Coding Rate (CR). Moreover, it is proven that the impact on BER and PER is similar irrespective of whether the attack occurs with total frame synchronization or is synchronized to after the preamble transmission. Lastly, we apply a detection scheme, based on previous values of Received Signal Strength Indicator (RSSI) and PER to successfully identify malicious attacks.
Original languageEnglish
Title of host publication2022 Sensor Signal Processing for Defence Conference, SSPD 2022 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Electronic)9781665483483
ISBN (Print)9781665483490
DOIs
Publication statusPublished - 23 Sept 2022
Event2022 Sensor Signal Processing for Defence Conference (SSPD) - London, United Kingdom
Duration: 13 Sept 202214 Sept 2022
https://sspd.eng.ed.ac.uk/

Publication series

NameSensor Signal Processing for Defence (SSPD)
PublisherIEEE
ISSN (Print)2996-0827
ISSN (Electronic)2996-0835

Conference

Conference2022 Sensor Signal Processing for Defence Conference (SSPD)
Abbreviated titleSSPD
Country/TerritoryUnited Kingdom
CityLondon
Period13/09/2214/09/22
Internet address

Bibliographical note

Funding Information:
This research is funded through the UKRI/EPSRC Prosperity Partnership in Secure Wireless Agile Networks (SWAN), (EP/T005572/1), https://www.swan-partnership.ac.uk/

Publisher Copyright:
© 2022 IEEE.

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  • SWAN (Secure Wireless Agile Networks) EPSRC Prosperity Partnership

    Beach, M. A. (Principal Investigator), Sandell, M. (Co-Principal Investigator), Hilton, G. (Co-Investigator), Austin, A. C. M. (Co-Investigator), Armour, S. M. D. (Co-Investigator), Haine, J. L. (Collaborator), Wales, S. W. (Collaborator), Luke, J. (Collaborator), Rogoyski, A. (Collaborator), Zhu, Z. (Collaborator), Watkins, G. T. (Collaborator), Kalokidou, V. (Researcher), Cappello, T. (Co-Investigator), Arabi, E. (Researcher), Nair, M. (Researcher), Ma, J. (Student), Wilson, S. (Student), Ozan, S. H. O. (Student), Prior, R. E. (Administrator), Xenos, E. (Student), Kayal, S. (Student), Chin, W. H. (Co-Principal Investigator) & Morris, K. A. (Co-Investigator)

    1/02/2031/01/25

    Project: Research, Parent

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