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Detection and mitigation of pilot spoofing attack

机译:检测和缓解飞行员欺骗攻击

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In a time-division duplex (TDD) multiple antenna system, the channel state information (CSI) can be estimated using reverse training. A pilot contamination (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 beamforming design, facilitating eavesdropping. A recent approach proposed superimposing a random sequence on the training sequence at the legitimate receiver and then using the minimum description length (MDL) criterion to detect pilot contamination attack. In this paper we augment this approach with joint estimation of both legitimate receiver and eavesdropper channels, and secure beamforming, to mitigate the effects of pilot spoofing. We consider two cases: (i) the spoofer transmits only the pilot signal, (ii) the spoofer also adds a random sequence to its pilot. The proposed mitigation approach 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(CSI)。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,就会发生飞行员污染(欺骗)攻击。这会污染信道估计并改变合法的波束成形设计,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)标准来检测飞行员的污染攻击。在本文中,我们通过联合估计合法的接收器和窃听者通道以及安全的波束成形来增强这种方法,以减轻导频欺骗的影响。我们考虑两种情况:(i)欺骗者仅发送导频信号,(ii)欺骗者还向其导频添加随机序列。通过仿真说明了拟议的缓解方法。

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