Angelina Tsuboi: A Raspberry Pi Device for Detecting Aircraft Signal Spoofing
A DEF CON 32 talk on building a low-cost device called Fly Catcher to detect spoofed ADS-B signals used for aircraft tracking.
The system is based on a Raspberry Pi with a 1090 MHz antenna and an SDR receiver to capture aviation signals. The data is analyzed using a neural network (CNN) trained to distinguish real and fake signals based on flight parameters such as position, speed, and aircraft ID.
Results are visualized in a radar-style interface, helping identify potential spoofing attacks on aviation systems. The researcher tested the device during a real flight and later analyzed the collected data.
The system is based on a Raspberry Pi with a 1090 MHz antenna and an SDR receiver to capture aviation signals. The data is analyzed using a neural network (CNN) trained to distinguish real and fake signals based on flight parameters such as position, speed, and aircraft ID.
Results are visualized in a radar-style interface, helping identify potential spoofing attacks on aviation systems. The researcher tested the device during a real flight and later analyzed the collected data.