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首页> 外文期刊>Wireless Communications Letters, IEEE >Detection and Identification of Spoofed Pilots in TDD/SDMA Systems
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Detection and Identification of Spoofed Pilots in TDD/SDMA Systems

机译：TDD / SDMA系统中欺骗飞行员的检测和识别

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摘要

In a time-division duplex (TDD) multiple antenna system, the channel state information can be estimated using reverse training. A pilot spoofing attack occurs when during the training phase, an adversary (spoofer) also sends identical training (pilot) signal as that of the legitimate receiver. This contaminates channel estimation and alters the legitimate precoder design, facilitating eavesdropping. A recent approach proposed superimposing a random sequence on the training sequence at the legitimate receivers, and then using the minimum description length (MDL) criterion to detect pilot spoofing attack via source enumeration. In this letter, we extend this approach by exploiting temporal subspace properties of the pilot signals in conjunction with the MDL criterion, to determine which pilots are contaminated by a spoofer, and which ones are free of spoofing attack. The identification performance is illustrated via simulations.
机译：在时分双工（TDD）多天线系统中，可以使用反向训练来估计信道状态信息。当在训练阶段，对手（欺骗者）也发送与合法接收者相同的训练（飞行员）信号时，就会发生飞行员欺骗攻击。这会污染信道估计并更改合法的预编码器设计，从而有助于窃听。最近的一种方法提出了在合法接收者的训练序列上叠加一个随机序列，然后使用最小描述长度（MDL）标准通过源枚举检测导频欺骗攻击。在这封信中，我们通过结合MDL标准利用导频信号的时间子空间属性来扩展此方法，以确定哪些导频器被spoofer污染了，哪些没有受到欺骗攻击。通过仿真说明了识别性能。

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