With the rise in spoofing incidents, it is necessary that all GNSS receivers integrate robust spoofing defense mechanisms into their architectures, to ensure uninterrupted service. Identifying the presence of spoofing is the key to its mitigation. This paper examines several parameters that can be utilized for detection, contributing to an understanding of spoofing countermeasures. Furthermore, it also introduces a pioneering approach for the autonomous vehicle pilots to make informed decisions in selecting the route of their vehicles in regions susceptible to spoofing. Clever decision of selecting trajectory may help the pilot to identify the spoofing attack in primary stage only. This study examines three types of trajectories, categorized by the complexity of their paths in terms of curvature and straightness. The study is particularly valuable for guiding the operational path selection of UAVs.