Energy-Based Optimization of Physical-Layer Challenge-Response Authentication with Drones

Drones are expected to be used for many tasks in the future and require secure communication protocols. In this work, we propose a novel physical layer authentication (PLA)-based challenge-response (CR) protocol in which a drone Bob authenticates the sender (either on the ground or air) by exploiting his prior knowledge of the wireless channel statistic (path loss, and shadowing). In particular, Bob will move to a set of positions in the space, and by estimating the gains of the received signals he will authenticate the sender. We consider the energy consumption in the design and provide three solutions: a purely greedy solution (PG), an optimal Bellman iterative solution (BI), and a heuristic solution based on evaluating the standard deviation of the gains in the space. Finally, we demonstrate the effectiveness of our approach through numerical simulations.