GPS-Spoofing Attack Detection Mechanism for UAV Swarms

Authors: Pavlo Mykytyn, Marcin Brzozowski, Zoya Dyka, Peter Langendoerfer

8 pages, 3 figures
License: CC BY-NC-ND 4.0

Results of the summarizing process for the arXiv paper: 2301.12766v2

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In the realm of autonomous and semi-autonomous , there has been a surge in research interest and demand across various civil application fields. However, the successful execution of missions by hinges on their reliance on signals for navigation, which are part of the Global Navigation Satellite System. Unfortunately, civil GPS signals lack encryption and authentication measures, making them susceptible to . In these attacks, malicious actors replicate genuine GPS signals to deceive targeted into altering their course, potentially leading to forced landings or crashes. To combat this threat, a groundbreaking study introduces a cutting-edge specifically designed for . This innovative approach is adept at identifying both single-transmitter and multi-transmitter in order to preemptively thwart the dire consequences associated with such manipulations. The core principle behind this detection mechanism involves a meticulous comparison between the distances calculated from the GPS coordinates of each pair of swarm members and those obtained through Impulse Radio Ultra-Wideband ranging among the same members.
AI-generated keywords: UAV swarms Global Positioning System (GPS) GPS spoofing attacks detection mechanism critical civil applications

AI-generated Key Points

  • Surge in research interest and demand for autonomous and semi-autonomous systems across civil application fields
  • Reliance on Global Navigation Satellite System signals for navigation
  • Vulnerability of civil GPS signals to attacks due to lack of encryption and authentication measures
  • Threat of malicious actors replicating genuine GPS signals to deceive targeted systems into altering their course
  • Introduction of a cutting-edge detection mechanism specifically designed for combating GPS signal manipulations
  • Ability of the innovative approach to identify both single-transmitter and multi-transmitter attacks
  • Core principle involving meticulous comparison between distances calculated from GPS coordinates and Impulse Radio Ultra-Wideband ranging among swarm members
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Abstract: Recently autonomous and semi-autonomous Unmanned Aerial Vehicle (UAV) swarms started to receive a lot of research interest and demand from various civil application fields. However, for successful mission execution, UAV swarms require Global navigation satellite system signals and in particular, Global Positioning System (GPS) signals for navigation. Unfortunately, civil GPS signals are unencrypted and unauthenticated, which facilitates the execution of GPS spoofing attacks. During these attacks, adversaries mimic the authentic GPS signal and broadcast it to the targeted UAV in order to change its course, and force it to land or crash. In this study, we propose a GPS spoofing detection mechanism capable of detecting single-transmitter and multi-transmitter GPS spoofing attacks to prevent the outcomes mentioned above. Our detection mechanism is based on comparing the distance between each two swarm members calculated from their GPS coordinates to the distance acquired from Impulse Radio Ultra-Wideband ranging between the same swarm members. If the difference in distances is larger than a chosen threshold the GPS spoofing attack is declared detected.

Submitted to arXiv on 30 Jan. 2023

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