Advanced air mobility operations will require reliable coordination mechanisms for managing dense traffic near vertiports. However, sequencing decisions may become vulnerable when they rely on potentially falsified self-reported information such as estimated time of arrival. Self-interested vehicles may misreport their arrival times to obtain favorable landing priority, while malicious actors may spoof information to disrupt sequencing decisions or induce unnecessary congestion. This paper studies secure coordination for vertiport sequencing under sensing uncertainty. We consider a coordinator that combines self-reported Remote-ID information with externally obtained surveillance measurements to check reports and assign separation-feasible arrival schedules. Since surveillance-based estimates are uncertain, falsified reports may remain consistent with the sensing uncertainty region and cannot always be rejected outright. We therefore formulate sequencing as a robust design problem over this uncertainty region. Self-interested misreporting is modeled as a strategic deviation that improves the reporting vehicle's own sequencing outcome, whereas malicious spoofing is modeled as an adversarial disturbance that degrades the system-level objective. The final paper will develop robust sequencing rules over surveillance-consistent uncertainty sets and evaluate their performance in representative vertiport sequencing scenarios.

翻译：先进空中交通运营需要可靠的协调机制来管理垂直起降机场附近的密集交通。然而，当排序决策依赖于可能被篡改的自报信息（如预计到达时间）时，其安全性便会受到威胁。自私的飞行器可能虚报到达时间以获得有利的着陆优先级，而恶意攻击者则可能伪造信息以扰乱排序决策或诱发不必要的拥堵。本文研究了感知不确定性下垂直起降机场排序的安全协调问题。我们考虑一个协调器，它结合自报的远程识别信息与外部获取的监视测量数据来核查报告，并制定满足分离可行性的到达调度方案。由于基于监视的估计存在不确定性，被篡改的报告可能与感知不确定区域保持一致，无法总是被直接否决。因此，我们将排序问题建模为针对该不确定区域的鲁棒优化问题。自私性虚报被建模为一种策略性偏离行为，旨在改善报告飞行器自身的排序结果；而恶意欺骗则被建模为一种对抗性扰动，旨在降低系统级目标性能。本文最终将开发基于监视一致性不确定集的鲁棒排序规则，并在典型垂直起降机场排序场景中评估其性能。