Zero-trust AI shields drone swarms from hidden attackers on tight bandwidth
A new zero-trust graph-attention framework detects compromised drones and coordinates UAV swarms under tight bandwidth, reaching 96.8 percent Byzantine F1-score ...
A new zero-trust graph-attention framework detects compromised drones and coordinates UAV swarms under tight bandwidth, reaching 96.8 percent Byzantine F1-score ...
A new simulation study presents a graph attention-based multi-agent reinforcement learning framework that jointly optimizes drone swarm trajectories, transmission power, ...
A simulation study presents a closed-loop framework that pairs MUSIC-based radar localization on cooperating drones with a path-loss-aware power allocation ...
A simulation study presents a multi-UAV system that denoises passive Wi-Fi signals from survivors' devices to generate zone-level rescue priorities.
A new adaptive Lévy flight–based wolf pack algorithm significantly outperforms ten competing metaheuristics on 300 multi-UAV reconnaissance task allocation benchmarks.
Researchers have developed OrbitGuardNet, a hybrid AI defense that detects BeiDou spoofing attacks on drone swarms with up to 98.1 ...
A new interdisciplinary framework called Vicinagearth Safety proposes unified technological and policy solutions for protecting the airspace, waters, and cross-domain ...
Researchers have built drone swarms that coordinate through bio-inspired motion and LED signals interpreted by an onboard language model, staying ...
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© 2025 Scienmag - Science Magazine