Raspberry Pi обнаруживает самолеты-призраки с помощью SDR

hackers can create false data by simulating the presence of an aircraft nearby. Fly Catcher monitors the frequency of 1090 MHz and determines the authenticity of potential aircraft thanks to a neural network developed specifically for this project.

The basis of the system is Raspberry Pi, which runs a neural network created in Python. This algorithm was trained on accurate ADS-B data to recognize real flight information and tested on false aircraft data created using SDR, similar to how hackers could do it.

Tsuboi used a Raspberry Pi 3 B+ connected to a 1.090 MHz antenna and FlightAware SDR equipment to read ADS-B signals in real time. She tested the system during an hour-long flight over Los Angeles, the details of which can be seen on her YouTube channel.

Tsuboi made the project open and shared the source code for everyone on GitHub. To get acquainted with the Fly Catcher project, you can visit the official page on the Hackster website.