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 [18], or Intrusion Detection System (IDS) based on Deep Learning aim to mitigate these threats, they exhibit limitations in addressing sophisticated jamming attacks [8]. 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.

RF-WAVEGUARD: Enhancing UAV Security Against Signal Jamming Attacks through Radio Frequency Watermarking

Hidawi, Khaoula;Carminati, Barbara;Ferrari, Elena
2024-01-01

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 [18], or Intrusion Detection System (IDS) based on Deep Learning aim to mitigate these threats, they exhibit limitations in addressing sophisticated jamming attacks [8]. 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.
2024
SaT-CPS '24: Proceedings of the 2024 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems
46
71
80
10
ASSOC COMPUTING MACHINERY
1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES
SaT-CPS '24: the 2024 ACM Workshop on Secure and Trustworthy Cyber-Physical Systems
Portugal
June 2024
contributo
Inglese
UAVs security; Jamming attacks; Cyber threats; Communication resilience; RF watermarking
no
Atti di Convegno::Relazione (in Volume)
none
273
info:eu-repo/semantics/conferenceObject
4
Hidawi, Khaoula; Tornaghi, Omar; Carminati, Barbara; Ferrari, Elena
   Security in Modern Information Management Infrastructures
   SMIMI
   Università degli Studi di Milano
   Decreto Rettorale n. 2732 del 28.03.2024
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11383/2179571
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