To defend against eavesdropping and spoofing attacks, the physical layer authentication (PLA) techniques utilize the unique attributes of channel or device for identifying attackers. Among these techniques, the PLA schemes based on channel phase responses use the secret key driven channel phase to authenticate the legitimate user, which have a better performance than the channel amplitude based schemes. However, the prior phase-based schemes only consider the perfect channel correlation coefficient between the two successive timeslots, which differs from the real scenarios. Meanwhile, the closed-form expressions of the theoretical analysis results are not comprehensive in the prior schemes, which are also not tight especially at low signal-to-noise ratio (SNR) regions. In this paper, we propose a PLA scheme based on the channel phase response, aiming to offset the performance loss introduced by the channel correlation coefficient. Moreover, we derive the closed-form expressions of the theoretical analysis results, such as the mean value, the variance and the probability density functions (PDFs), which can be utilized to provide the closed-form threshold for making decision instead of a great ideal of testing. Then, the security analysis is provided to verify the resistance of the proposed scheme under the attacks. Simulation results show that the proposed scheme outperforms the benchmarks and the proposed theoretical results match well with the simulated results even under low SNR regions.

中文翻译：

---

基于多载波传输信道相位响应的物理层认证

为了防御窃听和欺骗攻击，物理层认证（PLA）技术利用信道或设备的独特属性来识别攻击者。在这些技术中，基于信道相位响应的 PLA 方案使用密钥驱动的信道相位来验证合法用户，这比基于信道幅度的方案具有更好的性能。然而，现有的基于相位的方案仅考虑两个连续时隙之间的完美信道相关系数，这与实际场景不同。同时，现有方案中理论分析结果的封闭形式表达不全面，尤其在低信噪比（SNR）区域也不够严密。在本文中，我们提出了一种基于信道相位响应的 PLA 方案，旨在抵消信道相关系数引入的性能损失。此外，我们推导了理论分析结果的封闭式表达式，如均值、方差和概率密度函数（PDF），可以用来提供决策的封闭式阈值，而不是一个很大的测试的理想。然后，提供安全性分析以验证所提出的方案在攻击下的抵抗力。仿真结果表明，即使在低 SNR 区域，所提出的方案优于基准，所提出的理论结果与仿真结果也能很好地匹配。方差和概率密度函数 (PDF)，可用于提供决策的封闭式阈值，而不是理想的测试。然后，提供安全性分析以验证所提出的方案在攻击下的抵抗力。仿真结果表明，即使在低 SNR 区域，所提出的方案优于基准，所提出的理论结果与仿真结果也能很好地匹配。方差和概率密度函数 (PDF)，可用于提供决策的封闭式阈值，而不是理想的测试。然后，提供安全性分析以验证所提出的方案在攻击下的抵抗力。仿真结果表明，即使在低 SNR 区域，所提出的方案优于基准，所提出的理论结果与仿真结果也能很好地匹配。