RF-WAVEGUARD: Enhancing UAV Security Against Signal Jamming Attacks through Radio Frequency Watermarking
Pages 71 - 80
Abstract
As Unmanned Aerial Vehicles (UAVs) become increasingly integral to a variety of industries, their dependency on radio frequency (RF) signal-based communication systems has exposed them to a multitude of security vulnerabilities. One of the most notable ones is RF jamming, which can disrupt communication, control, and navigation. While traditional countermeasures, such as Hardware Sandboxing \citemead_defeating_2016, or Intrusion Detection System (IDS) based on Deep Learning aim to mitigate these threats, they exhibit limitations in addressing sophisticated jamming attacks \citedhomane_counter_measures_2020-1. This paper presents a novel design of an authentication-based strategy using RF watermarking. Our proposed RF watermarking technique embeds hidden identifiers within RF signals to authenticate communication sources and detect jamming attempts. Through a comprehensive evaluation, we demonstrate the effectiveness of our proposed scheme in enhancing UAV communication security and ensuring reliable operation in the presence of adversarial interference.
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Index Terms
- RF-WAVEGUARD: Enhancing UAV Security Against Signal Jamming Attacks through Radio Frequency Watermarking
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Published In
June 2024
97 pages
ISBN:9798400705557
DOI:10.1145/3643650
- Program Chairs:
- Maanak Gupta,
- Mahmoud Abdelsalam,
- Mir Pritom,
- Feras Awaysheh
Copyright © 2024 Owner/Author.
This work is licensed under a Creative Commons Attribution International 4.0 License.
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Published: 19 June 2024
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- The Italian Ministry for Universities and Research (MUR)
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CODASPY '24
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CODASPY '24: Fourteenth ACM Conference on Data and Application Security and Privacy
June 21, 2024
Porto, Portugal
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