Visualization & assessment of ADS-B security for green ATM

Energy efficiency, noise and emissions footprint reduction are major “green” performance targets of next-generation air transportation systems. Automatic Dependent Surveillance Broadcast (ADS-B) is an advanced “cyber-physical” concept that can help meet such targets by enabling highly accurate air traffic surveillance. However, beneficial, confident application of ADS-B requires a foundational understanding of vulnerabilities and mitigation requirements. This paper focuses on the assessment and mitigation of threats from unauthorized access and unanticipated disruption of ADS-B communications. We present a solution to protect message integrity in ADS-B IN based airborne surveillance, discuss the accuracy and robustness of the solution in the presence of spoofed or compromised nodes and intentional jamming. To study effects of “intelligent jamming” strategies on ADS-B, visualize and analyze system-wide impact, we propose a security simulation tool concept and design.