Angelina Tsuboi, a pilot with a background in cybersecurity, has created an innovative system called "Fly Catcher" that runs on the popular Raspberry Pi single-board computer. This system is capable of detecting fake aircraft signals using Automatic Dependent Surveillance Data Transmission System (ADS-B) technology.
ADS-B is used in aviation to transmit information about the location of an aircraft, but 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 system is based on the 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 generated using SDR, similar to what hackers might have done.
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, details of which can be seen on her YouTube channel.
Tsuboi made the project open source and shared the source code for everyone on GitHub. To get acquainted with the Fly Catcher project, please visit the official page on the Hackster website.
ADS-B is used in aviation to transmit information about the location of an aircraft, but 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 system is based on the 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 generated using SDR, similar to what hackers might have done.
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, details of which can be seen on her YouTube channel.
Tsuboi made the project open source and shared the source code for everyone on GitHub. To get acquainted with the Fly Catcher project, please visit the official page on the Hackster website.
