分布式SIMO物理层认证的最差情况检测性能
Worst-Case Detection Performance for Distributed SIMO Physical Layer Authentication
摘要：
使用位置特定信道特性作为识别特征的基于认证的物理层认证（PLA）方案可以在开销受限的应用中提供针对冒充攻击的轻量级保护，关键任务和低延迟场景。然而，使用PLA感知攻击策略，攻击者可以最大限度地成功模仿合法设备的概率。在本文中，我们提供了最坏情况下的检测性能界限下，这种策略的分布式PLA计划，是基于在多个分布式远程无线电头观察到的信道状态信息（CSI）。这种分布式设置利用多信道分集来增强检测性能，并模仿4G和5G无线电接入网络所考虑的分布式天线架构。我们考虑（i）功率操纵攻击，其中单天线攻击者采用最佳发射功率和相位;以及（ii）最佳空间位置攻击。有趣的是，我们的研究结果表明，攻击者可以实现接近最佳的成功概率，只有统计CSI，这显着加强了我们的结果与实际情况的相关性。此外，我们的研究结果表明，通过将天线分布到多个无线电头，最坏情况下的漏检概率可以减少4个数量级，而不增加天线的总数，说明分布式PLA的优越性在一个共同定位的天线设置。
英文摘要：
Feature-based physical layer authentication (PLA) schemes, using position-specific channel characteristics as identifying features, can provide lightweight protection against impersonation attacks in overhead-limited applications like e.g., mission-critical and low-latency scenarios. However, with PLA-aware attack strategies, an attacker can maximize the probability of successfully impersonating the legitimate devices. In this paper, we provide worst-case detection performance bounds under such strategies for a distributed PLA scheme that is based on the channel-state information (CSI) observed at multiple distributed remote radio-heads. This distributed setup exploits the multiple-channel diversity for enhanced detection performance and mimics distributed antenna architectures considered for 4G and 5G radio access networks. We consider (i) a power manipulation attack, in which a single-antenna attacker adopts optimal transmit power and phase; and (ii) an optimal spatial position attack. Interestingly, our results show that the attacker can achieve close-to-optimal success probability with only statistical CSI, which significantly strengthens the relevance of our results for practical scenarios. Furthermore, our results show that, by distributing antennas to multiple radio-heads, the worst-case missed detection probability can be reduced by 4 orders of magnitude without increasing the total number of antennas, illustrating the superiority of distributed PLA over a co-located antenna setup.
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