False data injection attacks on unmanned aerial vehicles used for package delivery
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Accepted Version
Date
2025-03-28
Authors
Umrani, Muhammad Iftikhar
Butler, Bernard
O’Driscoll, Aisling
Davy, Steven
Journal Title
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Publisher
Institute of Electrical and Electronics Engineers (IEEE)
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Abstract
This paper studies GPS and LiDAR spoofing attacks in UAV-based package delivery scenarios. An experimental testbed integrates PX4 autopilot, Gazebo simulator, and ROS to launch attacks on UAV navigation and obstacle avoidance systems. It was found that malicious software nodes can be added to generate false position and context data. Therefore, UAVs need a robust and intelligent security framework to detect attacks in real-time, to ensure successful mission completion.
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Keywords
Unmanned aerial vehicle , Sensor spoofing , Package delivery , Cybersecurity , Threat detection
Citation
Umrani, M. I., Butler, B., O’Driscoll, A. and Davy, S. (2025) 'False data injection attacks on unmanned aerial vehicles used for package delivery', 2024 Cyber Research Conference - Ireland (Cyber-RCI), Carlow, Ireland, 25 November 2024, pp. 1-4. https://doi.org/10.1109/Cyber-RCI60769.2024.10939197
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