Stealthy jammer UAV detection via Bayesian security game in swarms
Original title: Stealthy Malicious Interference Detection in UAV Formations: A Power-Domain Signaling Game Approach
Bayesian security game scheme detects stealthy jammer UAVs by updating posteriors from SINR observations, improving defender utility.
The paper proposes a belief-driven scheme for detecting stealthy jammer UAVs in swarms. A jamming UAV can disguise SINR degradation as benign interference. The defender updates posterior belief from observed SINR and decides on defensive power boosting. Pure-strategy perfect Bayesian equilibrium is characterized. Numerical results show improved expected utility over conventional schemes.
- Models interfering UAV as hidden benign or jamming type
- Uses SINR observations for posterior belief updates
- Characterizes PBE under separating and pooling structures
- Improves defender expected utility
From the original article
1 min read at arxiv.orgReliable intra-swarm communication is fundamental to cooperative sensing, control, and mission execution in unmanned aerial vehicle (UAV) swarms. In open low-altitude shared-spectrum environments, coexisting UAVs may cause benign interference through spectrum reuse and signal leakage, while jamming UAVs may deliberately degrade critical intra-swarm links.
By Jianle Ba · arxiv.org
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