Chained Attacks on Drone-Based Federated Learning: From Network Disruption to Device Impersonation

arXiv:2607.20280 · cs.CR · Submitted 2026-07-22 · Read on arXiv

Suleiman Muhammad Sabo, Hamed Alkharsh, Peilin Li, Chuadhry Mujeeb Ahmed, Aydin Abadi, Shishir Nagaraja, Rajiv Ranjan

cs.CR

Submitted: 2026-07-22

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 35× in this paper · explained in 1 episode
• Federated Learning — 23× in this paper · explained in 14 episodes
• Non-IID Data — 6× in this paper · explained in 2 episodes
• Edge Intelligence — 4× in this paper
• Aggregation — 3× in this paper · explained in 1 episode
• Robustness — 3× in this paper · explained in 5 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Federated Learning (FL) — 2× in this paper · explained in 7 episodes
• Independent and Identically Distributed — 2× in this paper
• Adaptation — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Data Heterogeneity — 1× in this paper · explained in 3 episodes
• Decentralized Federated Learning — 1× in this paper · explained in 2 episodes
• Edge AI — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Generalizability — 1× in this paper · explained in 6 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Flower: A Friendly Federated Learning Research Framework
• Demo: A Practical Testbed for Decentralized Federated Learning on Physical Edge Devices

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