UAV security situation awareness method based on semantic analysis
Xijun Gao, Hongxia Jia, Zili Chen, Guogang Yuan, Sen Yang · 2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS) · 2020
Battlefield unmanned aerial vehicles (UAVs) usually suffer from complex, flexible and invisible electromagnetic interference, and as a result, they are easy to get out of control from the ground base. To address this problem, the method of the UAV electromagnetic jamming security situation awareness based on semantic analysis is proposed in this paper. The data source of semantic analysis is collected based on the subtle changes of the UAV state parameters during the electromagnetic interference process. Abnormal behavior detection is realized by a tracing comparison method. Subsequently, the fuzzy logic reasoning is adopted to realize the semantic analysis of the link jamming and intrusion situation. Finally, the semantic evaluation of the link situation is developed. Simulation results show that the proposed method can realize the evaluation of the security situation according to the limited and isomerism state parameters, which can, therefore, improve the active defense capacity of battlefield UAVs.