Data Generation for Modeling Attacks on UAVs for the Purpose of Testing Intrusion Detection Systems

Today, issues related to ensuring the safety of UAVs are very relevant. Researchers need develop new protection methods detect attacks in a timely manner and implement mitigation measures. The authors propose concept attack detection "from inside" UAV. idea is analyze cyber-physical parameters UAV, which may indicate an attack, its possible consequences. It was determined that determine consequences it can lead, necessary control not only initial parameters, but also internal This will allow predicting taking emergency A scheme impact on relationship with security incidents, built using ontological approach, has been worked out. Two main essences UAV considered - physical digital aspects Examples chains leading various shown. In review part, analysis algorithms for detecting spoofing data generators carried out, based conclusions drawn about their advantages disadvantages. Further, experiments performed, method assessing quality generating anomalous sets similar real data, be used test blocking attacks. architecture experimental stand, framework full-scale simulation, described. At this designed parse GPS (GPS spoofing), several scenarios normal flight, then scenarios, were tested. Based results experiments, proposed allows simulating corresponding required accuracy. fake proposed.