SACRED EYE: Secure Communication and Decentralized Monitoring for Swarm UAV Mission Completion

The flexibility, scalability, and robustness of Unmanned Aerial Vehicle (UAV) swarms make them highly adaptable to dynamic environments. However, these advantages also introduce a range of optimization challenges, including constraints on size, weight, and energy consumption, as well as less explored topics such as lightweight, secure communication and reliable mission completion. Inspired by the ant identification methods, we propose a decentralized solution to enhance communication security and ensure mission completion within UAV swarms. Unlike existing methods that rely on Physical Unclonable Functions (PUFs), our solution introduces a PUF-less framework. Specifically, we define private IDs and group keys for individual UAVs, enabling secure communication while minimizing the risk of intrusion. The effectiveness of our method is validated through simulations, which highlight the importance of periodically updating the group key. Additionally, we address targeted attacks on private IDs by incorporating behavioral analysis and shared monitoring among swarm members. Our proposed approach paves the way for realizing the full potential of UAV swarms.

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Publication Details

Published
2025-12-19
DOI
https://doi.org/10.1109/asianhost68425.2025.11370366
Primary Topic
UAV Applications and Optimization
Type
article
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article

SACRED EYE: Secure Communication and Decentralized Monitoring for Swarm UAV Mission Completion

Amin Rezaei, Hugo Le Dirach
UAV Applications and Optimization
article

SACRED EYE: Secure Communication and Decentralized Monitoring for Swarm UAV Mission Completion

Amin Rezaei, Hugo Le Dirach
article en

Abstract

The flexibility, scalability, and robustness of Unmanned Aerial Vehicle (UAV) swarms make them highly adaptable to dynamic environments. However, these advantages also introduce a range of optimization challenges, including constraints on size, weight, and energy consumption, as well as less explored topics such as lightweight, secure communication and reliable mission completion. Inspired by the ant identification methods, we propose a decentralized solution to enhance communication security and ensure mission completion within UAV swarms. Unlike existing methods that rely on Physical Unclonable Functions (PUFs), our solution introduces a PUF-less framework. Specifically, we define private IDs and group keys for individual UAVs, enabling secure communication while minimizing the risk of intrusion. The effectiveness of our method is validated through simulations, which highlight the importance of periodically updating the group key. Additionally, we address targeted attacks on private IDs by incorporating behavioral analysis and shared monitoring among swarm members. Our proposed approach paves the way for realizing the full potential of UAV swarms.

Université Fédérale de Toulouse Midi-Pyrénées (FR), Toulouse Mathematics Institute (FR), California State University, Long Beach (US)
Affordable and clean energy
Openalex Percentile: Top 13%
UAV Applications and Optimization
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