College of Computing, Engineering & Construction
Master of Science in Electrical Engineering (MSEE)
NACO controlled Corporate Body
University of North Florida. School of Engineering
Dr Alan Harris
Dr O. Patrick Kreidl
Dr John Nuszkowski
Dr Brian Kopp
Automatic Dependent Surveillance Broadcast (ADS-B) was mandated January 1st, 2020 to all commercial aircraft that fly over 10,000 ft. This radio frequency (RF) based technology is part of an international plan to phase out radar-based surveillance within the airspace. Unfortunately, due to a lack of encryption and other security measures, ADS-B transmission remains open for possible exploitation. This thesis will explore the use of Multilateration (MLAT) to validate location data provided within the ADS-B framework. MLAT uses the Time Difference of Arrival (TDOA) at multiple locations to determine the origin of a received signal. Additionally, as MLAT greatly depends on the topology of receiver location, multiple configurations will be examined and simulated within the confines of a real-world application. Finally, adversary spoofing scenarios were explored by injecting a stationary and moving adversary into the system. The adversary transmitted ADS-B location data from a different origin than the packets would indicate to create a fake aircraft in the airspace. The performance of the MLAT model was analyzed to determine its ability to flag the adversary’s data as suspicious.
Stroman, Skylar, "Automatic Dependent Surveillance Broadcast (ADS-B) Security Mitigation through Multilateration" (2021). UNF Graduate Theses and Dissertations. 1106.