Malware detection and classification for GCS of UAV

Abstract

Recently, the use of unmanned aerial vehicles (UAV), which is a remotely piloted aircraft, has developed. UAV are used in various fields such as emergency rescue, photo taking, weather, as well as military field. And other areas Due to its importance and development, it has become vulnerable to many hacker attacks, among the hacker methods using it files and malware; they are focused on communication channels and sensors, as well as the ground control station (GCS) In our work we focused on attacks on the ground control station, we used several models for the detection and prediction of malicious files