论文标题
GNSS通过机会性虹膜信号欺骗检测
GNSS Spoofing Detection via Opportunistic IRIDIUM Signals
论文作者
论文摘要
在本文中,我们研究了私有的虹膜卫星星座,以提供独立于GNSS的位置服务。特别是,我们将发现提出了一种新的GNSS欺骗检测解决方案,利用了由Iridium卫星广播的未加密的虹膜环警报(IRA)消息。首先,我们将虹膜卫星星座的许多参数反向工程,例如卫星速度,数据包间隔时间,最大卫星覆盖范围,卫星通行证持续时间和卫星梁星座,仅举几例。后来,我们采用上述统计数据来创建卫星网络的详细模型。随后,由于GNSS欺骗攻击,我们提出了一种解决方案,以检测目标用户与他的路径的意外偏差。我们证明我们的解决方案可以有效地使用,以验证从标准GNSS卫星星座估计的位置,并且我们提供约束和参数以适合多种应用程序场景。本文中报告的所有结果虽然显示了我们提案的质量和可行性,但得到了真实数据的支持。特别是,由于测量活动持续了几天,我们已经收集并分析了数十万个IRA消息。所有收集的数据($ 1000+$小时)已向研究社区提供。我们的解决方案特别适用于无人看管的场景,例如沙漠,农村地区或开放海,在这种情况下,由于部署限制,无法使用标准的欺骗检测技术来求助于众包。此外,与竞争解决方案相反,我们的方法不诉诸物理层信息,专用硬件或多个接收站,同时仅利用单个接收天线和公共可用的虹膜传输。最后,还强调了新颖的研究方向。
In this paper, we study the privately-own IRIDIUM satellite constellation, to provide a location service that is independent of the GNSS. In particular, we apply our findings to propose a new GNSS spoofing detection solution, exploiting unencrypted IRIDIUM Ring Alert (IRA) messages that are broadcast by IRIDIUM satellites. We firstly reverse-engineer many parameters of the IRIDIUM satellite constellation, such as the satellites speed, packet interarrival times, maximum satellite coverage, satellite pass duration, and the satellite beam constellation, to name a few. Later, we adopt the aforementioned statistics to create a detailed model of the satellite network. Subsequently, we propose a solution to detect unintended deviations of a target user from his path, due to GNSS spoofing attacks. We show that our solution can be used efficiently and effectively to verify the position estimated from standard GNSS satellite constellation, and we provide constraints and parameters to fit several application scenarios. All the results reported in this paper, while showing the quality and viability of our proposal, are supported by real data. In particular, we have collected and analyzed hundreds of thousands of IRA messages, thanks to a measurement campaign lasting several days. All the collected data ($1000+$ hours) have been made available to the research community. Our solution is particularly suitable for unattended scenarios such as deserts, rural areas, or open seas, where standard spoofing detection techniques resorting to crowd-sourcing cannot be used due to deployment limitations. Moreover, contrary to competing solutions, our approach does not resort to physical-layer information, dedicated hardware, or multiple receiving stations, while exploiting only a single receiving antenna and publicly-available IRIDIUM transmissions. Finally, novel research directions are also highlighted.