Cyber Threat Impact Analysis to Air Traffic Flows Through Dynamic Queue Networks
Ali Tamimi, Adam Hahn, Sandip Roy

TL;DR
This paper models cyber threats to air traffic control using dynamic queue networks, analyzing how attacks like DoS and tampering affect aircraft flow and sector vulnerability, highlighting the significant impact of Route Denial of Service attacks.
Contribution
It introduces a novel dynamic queue network model for air traffic, evaluates multiple cyber attack impacts, and identifies sector vulnerabilities through graph metrics and case studies.
Findings
Route Denial of Service causes major flow degradation.
Sector Denial of Service impacts are localized.
Route Tampering affects specific aircraft routes.
Abstract
Air traffic control increasingly depends on information and communication technology (ICT) to manage traffic flow through highly congested and increasingly interdependent airspace regions. While these systems are critical to ensuring the efficiency and safety of our airspace, they are also increasingly vulnerable to cyber threats that could potentially lead to reduction in capacity and/or reorganization of traffic flows. In this paper, we model various cyber threats to air traffic control systems, and analyze how these attacks could impact the flow of aircraft through the airspace. To perform this analysis, we consider a model for wide-area air traffic based on a dynamic queuing network model. Then we introduce three different attacks (Route Denial of Service, Route Selection Tampering, and Sector Denial of Service) to the air traffic control system, and explore how these attacks…
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