Security News > 2024 > January > Fly Catcher: Detect aircraft spoofing by monitoring for malicious signals

Fly Catcher is an open-source device that can detect aircraft spoofing by monitoring for malicious ADS-B signals in the 1090MHz frequency.

"Throughout this project, I realized that finding which AI model to detect for a spoofed aircraft depended greatly on the situation. For instance, I learned that a Neura Network was the optimal model for detecting for obvious"script kiddie" aircraft.

After tinkering around with various optimizations, I found that RSSI Fingerprinting, which involves classifying spoofed aircraft by analyzing the signal strength of the aircraft ADS-B Out transmitter, was the most accurate, Tsuboi told Help Net Security.

"Fly Catcher stands out against other spoof detection counterparts because it leverages affordable components with extensive documentation, such as the Raspberry Pi and the FlightAware SDR platform, making assembly much cheaper. Moreover, the design and research behind Fly Cather are completely open-source, and anyone can build the device, given they have all the materials. Other spoof detection devices are often inaccessible to the public, are very expensive, and do not have extensive documentation, presenting a barrier to entry for people interested in exploring the intersection of aviation and cybersecurity," Tsuboi explained.

At present, the device's training is based on fabricated data, due to the developer's limited access to actual spoofed signals.

Tsuboi is keen on collaborating with signals intelligence experts in the aviation sector to acquire authentic spoofed ADS-B data from real-world situations.

News URL

https://www.helpnetsecurity.com/2024/01/10/fly-catcher-detect-aircraft-spoofing/