Systematic Literature Review for Detecting Intrusions in Unmanned Aerial Vehicles Using Machine and Deep Learning
Unmanned aerial vehicles (UAVs), known as drones, have significantly impacted the agricultural, police, military, and commercial sectors, aiming to enhance the quality of life; however, they are exposed to significant risks from the adversarial side, thereby gaining benefits from security vulnerabilities, including insecure communication channels,