Application of Dynamic Security Strategy in Authority Gray Scale and Toughness Determination of Electric UAV

In order to enhance the intelligence and security of power system unmanned aerial vehicle inspection, a dynamic security strategy based on authority gray scale and toughness determination method is proposed in this paper. By combining the real-time status and environmental information of the UAV, the authority level and operation scope of the UAV are dynamically adjusted to achieve immediate response to potential threats. In this paper, threat modeling and threat probability graph are introduced to evaluate the threat level faced by UAVs in different scenarios and provide a basis for dynamic adjustment of security policies. In addition, a set of algorithms is designed for real-time analysis of a drone's resilience level, that is, its resilience in the event of an attack or failure. The effectiveness and practicability of the proposed method are verified by system simulation. The simulation results show that the UAV can quickly adjust its behavior when facing various preset threat scenarios, effectively reduce risks, and maintain a high task completion rate. In 100 simulation tests, the average risk reduction rate reached 32.4%, while the task completion rate remained above 89.7%, which was significantly better than the traditional static security strategy.