Band & Tone Jamming Analysis and Detection on LoRa signals
Cl\'ement Demeslay, Roland Gautier, Anthony Fiche, Gilles Burel

TL;DR
This paper investigates the impact of band and tone jamming on LoRa signals, demonstrating LoRa's resilience and proposing a lightweight detection scheme with strong performance, especially against single tone jamming.
Contribution
It introduces a novel, simple jammer detection method for LoRa signals that effectively identifies band and tone jamming attacks.
Findings
LoRa shows good resilience against BJ and TJ in AWGN channels.
The proposed detection scheme effectively identifies jamming, especially single tone jamming.
Simulation results confirm the detection method's high accuracy.
Abstract
This paper examines the effect of Band Jamming (BJ) and Tone Jamming (TJ) on LoRa signals in a flat Additive White Gaussian Noise (AWGN) channel. In this scenario, LoRa proves to have good resiliency against these jamming attacks. Furthermore, a simple and lightweight BJ and TJ jammer detection scheme is derived. Theoretical and simulation results show good detection capability, especially with Single Tone Jamming (STJ).
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Taxonomy
TopicsIoT Networks and Protocols
