The objective of this project is to design and demonstrate the feasibility of an innovative physical layer enhanced information fusion approach for real-time detection of air-to-air and ground-to-air spoofed ADS-B reports. The main components of our innovative system include: (1) physical layer based ADS-B spoofing detection; (2) onboard sensors based ADS-B spoofing detection; (3) ground ADS-B spoofing detection; (4) information fusion of multiple ADS-B spoofing detectors. Physical layer based ADS-B spoofing detection and Dempster-Shafer fusion are two core components of our proposed technique. Our algorithm is applicable to all airspaces no matter they are covered by radars/Multilateration or not. The physical layer based method can detect not only the spoofing attack in the air (spoof ADS-B report of aircraft), but also spoofing attack on the ground (spoof the ground station broadcasting). Our physical layer enhanced information fusion system for airborne ADS-B spoofing detection has wide military and commercial applications.
Benefit: This innovative physical layer enhanced information fusion approach for detection of air-to-air and ground-to-air spoofed ADS-B reports has large potential applications for military and commercial platforms. The primary DoD applications include manned military aircraft, unmanned military aircraft, and helicopter. Our ADS-B spoofing detection technique can protect DOD aircraft from denial of aircraft access attacks via spoofed ADS-B reports. Commercial applications include civil aircraft and UAVs. It can be used directly in the Next Generation Air Transportation Systems (NextGen) to improve the safety, capacity, and efficiency of commercial flights.
Keywords: Automatic Dependent Surveillance - Broadcast, Spoof Detection Nextgen, Rf Fingerprinting, Evolutionary Immune Svm, Artificial Immune System Information Fusion, Dempst
