As the core of the next-generation air transportation system， ADS-B is becoming a substitute for radar. It requires aircraft to broadcast its precise geographic location on a regular basis， thereby improving the safety of the aircraft. However， the ADS-B protocol lacks a security mechanism， which makes the ADS-B signal vulnerable to network attacks during transmission， causing signal interference or missing， and seriously threatening aviation safety. This article first reviews the development of ADS-B at home and abroad， and analyzes the three dimensions of ADS-B transmission process， ADS-B hardware and software， and ADS-B data on the basis of summarizing the security problems existing in the ADS-B. In the field of artificial intelligence technology， especially the deep learning method in machine learning is one of the ways to solve this problem.