{"id":2624,"date":"2023-12-09T11:43:08","date_gmt":"2023-12-09T10:43:08","guid":{"rendered":"https:\/\/www.spacesecurity.info\/detecting-aircraft-spoofing-with-fly-catcher\/"},"modified":"2023-12-09T11:43:48","modified_gmt":"2023-12-09T10:43:48","slug":"detecting-aircraft-spoofing-with-fly-catcher","status":"publish","type":"post","link":"https:\/\/www.spacesecurity.info\/en\/detecting-aircraft-spoofing-with-fly-catcher\/","title":{"rendered":"Detecting Aircraft Spoofing With Fly-Catcher"},"content":{"rendered":"

Aviation technology is vulnerable to a wide range of cyber threats. Hackers can easily spoof “ghost” aircraft into the sky.<\/p>\n

In order to tackle this issue, Angelina Tsuboi, a pilot and a cybersecurity researcher developed a device called Fly Catcher to detect instances of aircraft spoofing on ADS-B. She also flew it on a plane over the coast of Los Angeles.<\/p>\n

Fly Catcher monitors the ADS-B 1090MHz frequency to detect spoofed aircraft by ground-based hackers using a custom AI model and neural network.<\/p>\n

The device consists of a 1090MHz antenna, FlightAware SDR, a custom 3D chassis and a Raspberry Pi, and scans nearby ADS-B messages and runs them through a neural network to detect fake aircraft transmitted by bad actors.<\/p>\n

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You can check out the project GitHub here<\/a>.<\/p>\n

You can also read the project article on Medium here<\/a>.<\/p>\n

Watch Fly Catcher in action on YouTube<\/strong><\/p>\n