Two methods for Jamming Identification in UAVs Networks using New Synthetic Dataset. (arXiv:2203.11373v1 [cs.CR])

Unmanned aerial vehicle (UAV) systems are vulnerable to jamming from
self-interested users who utilize radio devices for their benefits during UAV
transmissions. The vulnerability occurs due to the open nature of air-to-ground
(A2G) wireless communication networks, which may enable network-wide attacks.
This paper presents two strategies to identify Jammers in UAV networks. The
first strategy is based on time series approaches for anomaly detection where
the signal available in resource blocks are decomposed statistically to find
trend, seasonality, and residues, …

jamming networks uavs