Secure Communication in Unmanned Aerial Vehicles

Unmanned Aerial Vehicles (UAVs) made major advances in security and defence applications like information gathering, safety missions, monitoring, judicial systems, urban planning, disaster management, vehicle tracking, recreation, and farming assessment. Since they are controlled by intruders, hence the infiltrated UAVs performance is poor. Despite their numerous benefits, UAVs receive little attention in regards to security, exposing them to attack. The consequences of UAV hacking include the loss of top-secret details, and the loss of critical operations. The majority of intrusion risks are occurred due to the inadequate security in communication systems. Moreover, such communication presents security problems because of its dynamic topology. In this study, we analyse 50 research papers focusing on different secure communication systems in UAV strategies and their key problems. The research intention is carefully considered, because it is primarily concerned with the current problems via secure communication in UAVs. As a result, the analysis of numerous existing methods of secure communication in UAV, such as deep learning (DL), machine learning (ML), and so on is facilitated based on a number of measures, including the year of publication, performance metrics, outcome of the techniques in numerical evaluations, and other factors. In addition, the analysis of each method, and its merits and demerits are provided. The paper is concluded by discussing the possible future research instructions and difficulties realising in efficient secure communication in UAV.