  Security provisioning for low-complex and constrained devices in the Internet
of Things (IoT) is exacerbating the concerns for the design of future wireless
networks. To unveil the full potential of the sixth generation (6G), it is
becoming even more evident that security measurements should be considered at
all layers of the network. This work aims to contribute in this direction by
investigating the employment of unmanned aerial vehicles (UAVs) for providing
secure transmissions in ground IoT networks. Toward this purpose, it is
considered that a set of UAVs acting as aerial base stations provide secure
connectivity between the network and multiple ground nodes. Then, the
association of IoT nodes, the 3D positioning of the UAVs and the power
allocation of the UAVs are obtained by leveraging game theoretic and convex
optimization-based tools with the goal of improving the secrecy of the system.
It is shown that the proposed framework obtains better and more efficient
secrecy performance over an IoT network than state-of-the-art greedy algorithms
for positioning and association.
