Detect Pilot Spoofing Attack for Intelligent Reflecting Surface Assisted Systems
Detect Pilot Spoofing Attack for Intelligent Reflecting Surface Assisted Systems
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DOI：
10.1109/access.2021.3054821
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发表时间：
2021-01-01
期刊：
影响因子：
3.9
通讯作者：
Sun, Zhuo
中科院分区：
文献类型：
--
作者：
Liu, Xiaoming;Tao, Yiwen;Sun, Zhuo
导频欺骗攻击（PSA）是一种主动窃听，在导频训练阶段启动相同的训练序列来操纵信道估计结果。新提出的智能反射面（IRS）系统由于依赖导频辅助信道估计方法来获取信道声明信息（CSI），容易受到PSA的影响。为了对抗irs辅助系统中的PSA，我们考虑了两个重大挑战：1)通道分布信息（CDI）的不确定性，这将使基于统计特征（SF）的PSA检测方法无效；2)在实际场景中检测PSA时，噪声具有不确定性，这将影响目前流行的基于能量的探测器。在本文中，我们设计了一个三步训练（TST）方案。当PSA发生时，有效的检测器通过检测发射机接收信号的功率电平来获得可靠的检测性能。该方法不需要噪声方差的先验知识，可以同时获得合法和非法双矢后向散射信道的CSI。理论分析和数值模拟进一步证明了我们提出的TST方案的有效性。
Pilot spoofing attack (PSA) is a kind of active eavesdropping, which launches the identical training sequence to manipulate the channel estimation outcome during the pilot training phase. The newly proposed intelligent reflecting surface (IRS) system is vulnerable to the PSA because it relies on the pilot-assisted channel estimation methods to obtain channel statement information (CSI). To combat PSA in IRS-assisted systems, we consider two significant challenges: 1) channel distribution information (CDI) is uncertain, which will make the PSA detection methods based on the statistic feature (SF) invalid; 2) the noise is uncertain when detecting PSA in practical scenarios, which would impair the popular energy-based detectors. In this paper, we design a three-step training (TST) scheme. The effective detector could achieve reliable detection performance by examining the transmitter's received signal power levels when PSA occurs. The proposed method does not require the prior knowledge of noise variance and could obtain the CSI of both legitimate and illegitimate dyadic backscatter channels. Theoretical analysis and numerical simulations are presented further to demonstrate the efficiency of our proposed TST scheme.