UAV Resilience Against Stealthy Attacks

Unmanned aerial vehicles (UAVs) depend on untrusted software components to automate dangerous or critical missions, making them a desirable target for attacks. Some work has been done to prevent an attacker who has either compromised a ground control station or parts of a UAV's software from sabotaging the vehicle, but not both. We present an architecture running a UAV software stack with runtime monitoring and seL4-based software isolation that prevents attackers from both exploiting software bugs and stealthy attacks. Our architecture retrofits legacy UAVs and secures the popular MAVLink protocol, making wide adoption possible.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.1109/icuas65942.2025.11007915
Citations
3
Primary Topic
Adversarial Robustness in Machine Learning
Type
article
Field-Weighted Citation Impact
7.44
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article

UAV Resilience Against Stealthy Attacks

Gary T. Leavens, Arthur Azevedo de Amorim, Trevor Kann, Max Taylor et al.
3 citations
Adversarial Robustness in Machine Learning
7.44
article

UAV Resilience Against Stealthy Attacks

Gary T. Leavens, Arthur Azevedo de Amorim, Trevor Kann, Max Taylor, William L. Harrison, Lance Joneckis
article en
3 citations

Abstract

Unmanned aerial vehicles (UAVs) depend on untrusted software components to automate dangerous or critical missions, making them a desirable target for attacks. Some work has been done to prevent an attacker who has either compromised a ground control station or parts of a UAV's software from sabotaging the vehicle, but not both. We present an architecture running a UAV software stack with runtime monitoring and seL4-based software isolation that prevents attackers from both exploiting software bugs and stealthy attacks. Our architecture retrofits legacy UAVs and secures the popular MAVLink protocol, making wide adoption possible.

University of Central Florida (US), Idaho National Laboratory (US), Carnegie Mellon University (US)
Openalex Percentile: Top 3%
Adversarial Robustness in Machine Learning
7.44
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UAV Resilience Against Stealthy Attacks — Gary T. Leavens, Arthur Azevedo de Amorim, et al. · (2025) | TGRS Research Map | TGRS