Chirp Detection and Signal Transmission: a HackRF Reactive Attack

The Internet of Things (IoT) is rapidly becoming a vital component of information technology, with expectations for continued significant growth. LoRa technology has proven effective for long-distance communication in IoT, supporting device management with minimal power usage, which significantly extends battery life. This study investigates the feasibility of compromising the integrity of the message using cost-effective but efficient reactive jamming techniques to disrupt the network, with attackers executing reactive jamming when detecting packet transmission. This paper demonstrates how an active attacker model is considered in LoRAWAN communication between end nodes and a gateway, with the detection of channel frequency, chirp detection, and subsequent signal transmission.

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Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/sst61991.2024.10755300
Citations
1
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.35
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article

Chirp Detection and Signal Transmission: a HackRF Reactive Attack

Josip Šabić, Petar Šolić, Toni Perković
1 citations
Advanced Malware Detection Techniques
0.35
article

Chirp Detection and Signal Transmission: a HackRF Reactive Attack

Josip Šabić, Petar Šolić, Toni Perković
article en
1 citations

Abstract

The Internet of Things (IoT) is rapidly becoming a vital component of information technology, with expectations for continued significant growth. LoRa technology has proven effective for long-distance communication in IoT, supporting device management with minimal power usage, which significantly extends battery life. This study investigates the feasibility of compromising the integrity of the message using cost-effective but efficient reactive jamming techniques to disrupt the network, with attackers executing reactive jamming when detecting packet transmission. This paper demonstrates how an active attacker model is considered in LoRAWAN communication between end nodes and a gateway, with the detection of channel frequency, chirp detection, and subsequent signal transmission.

University of Split (HR)
Openalex Percentile: Top 42%
Advanced Malware Detection Techniques
0.35
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