An application of fuzzy mathematics in ADS-B data validation

Automatic Dependent Surveillance - Broadcast (ADS-B) is providing significant operational enhancements to military and civilian applications, however, there are still security problems, such as the data can be falsified and the message can be received without authorization, which can be obstacles to the development of ADS-B. This paper proposed fuzzy mathematics application related theory in connection with the issue that ADS-B data can be falsified, through methods such as building fuzzy factor sets, choosing membership functions, allocating fuzzy factor weight sets, verifying track membership degree, etc., conduct dependent verification on ADS-B track data. The simulation results showed that this method is relatively effective and real-timed, which can meet the requirements for the reliability verification on the data.