Unmanned aerial vehicles (UAVs), also known as drones, have become a popular research aspect in recent digital forensics. Many papers deal with various approaches connected with UAVs, including identification by flight logs, detecting a mobile device used to pilot a UAV, or different methods for managing their transmission. In this paper, we deal with the problem of linking mobile devices with a drone that it was flown by. More precisely, we consider, whether it is possible to identify which mobile device was used to pilot a particular drone, based on flight logs that are stored in the mobile device’s internal memory after each flight. We propose a method based on a transformer that predicts the mobile device that was used to pilot a drone. Experimental evaluation shows that it is possible to determine that a drone was piloted with a particular mobile device based on the log file. The evaluation is performed on real data, acquired from a popular UAV and several modern mobile devices used to pilot them.