Location privacy of aircraft has recently gained attention as air traffic management was modernized using novel surveillance technologies. Business aviation circles and various military and government entities voiced serious concerns about automated and ubiquitous tracking. Consequently, some flight authorities have started addressing these operational privacy issues with novel programs. A first analysis was conducted on the Privacy ICAO Address (PIA) program launched by the Federal Aviation Administration on January 1, 2020, aiming to increase privacy of general aviation in the United States. A methodology using air traffic communication data gathered from crowdsourced networks is demonstrated to identify and track aircraft enrolled in this program, showing that the privacy performance of the program does not meet its goals. Using this method, 14 exemplary aircraft enrolled in the program were identified; this number is expected to grow significantly in the future. The future efficacy of the PIA program is further predicted with a novel aircraft privacy simulator. It is shown that after 100 days, on average 69.2% of a fleet of 100 aircraft enrolled in the program can be tracked. Two improvements to the program are suggested, which would significantly decrease aircraft traceability to 44.0% after 100 days and 0.89% after 42 days, respectively.

随着使用新颖的监视技术使空中交通管理现代化，飞机的位置隐私最近受到关注。公务航空界以及各种军事和政府实体都对自动和无处不在的跟踪表示了严重的担忧。因此，一些飞行当局已开始通过新颖的程序解决这些运营隐私问题。联邦航空局于2020年1月1日对隐私国际民航组织地址（PIA）计划进行了首次分析，旨在增加美国通用航空的隐私。演示了一种使用从众包网络收集的空中交通通信数据的方法来识别和跟踪该程序中注册的飞机，这表明该程序的隐私性能未达到其目标。使用这种方法 确定了参加该计划的14架示范飞机；预计该数字将在未来显着增长。新型飞机隐私模拟器可进一步预测PIA计划的未来功效。结果表明，在100天之后，该程序中100架飞机的机队平均可追踪到69.2％。建议对该程序进行两项改进，这将使飞机的可追溯性分别在100天后显着降低到44.0％，在42天后显着降低到0.89％。