A SVM-based detection approach for GPS spoofing attacks to UAV

Today, the necessity of strong cyber security measures is self-evident. The proliferation of cyber attacks is causing increasing damage to companies, governments and individuals and it is not just the number of cyber security attacks that is increasing: the severity of these attacks is on the rise as well. In particular, aviation systems and Remotely Piloted Aircraft Systems are of highest importance in terms of safety and security. In this paper, we introduce a novel approach to the detection of Global Positioning System (GPS) spoofing attack to Unmanned Aerial Vehicle (UAV) based on the analysis of state estimation using the Support Vector Machine (SVM) as a tool for the anomaly detection.