https://peertube.eqver.se/videos/watch/7d970f0b-05fc-4310-ac1a-92d3606b4614 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. Fri, 24 Jul 2026 11:26:01 GMT https://validator.w3.org/feed/docs/rss2.html PeerTube - https://peertube.eqver.se https://peertube.eqver.se/client/assets/images/icons/icon-512x512.png https://peertube.eqver.se/videos/watch/7d970f0b-05fc-4310-ac1a-92d3606b4614 All rights reserved, unless otherwise specified in the terms specified at https://peertube.eqver.se/about and potential licenses granted by each content's rightholder.