论文标题
使用主动窃听器的IRS辅助MIMO系统中的安全传输
Secure Transmission in IRS-Assisted MIMO Systems with Active Eavesdroppers
论文作者
论文摘要
当网络中有主动的窃听器时，这项工作研究了智能反射表面（IRS）辅助的MIMO系统的安全传输。我们考虑了一种场景，在这种情况下，窃听器会执行主动飞行员攻击以污染基站的通道估计。我们调用安全零强迫的方法的方法，开发了一种设计边缘向量的算法，以及在IRS处的相移，以使主动攻击者蒙蔽了双眼。我们的数值研究证实，只要合法和恶意终端在统计学上可以区分，提出的算法就可以有效地抑制活跃的窃听器。
This work studies secure transmission in intelligent reflecting surfaces (IRS)-assisted MIMO systems when an active eavesdropper is available in the network. We consider a scenario in which the eavesdropper performs an active pilot attack to contaminate the channel estimation at the base station. Invoking the method of secure regularized zero forcing, we develop an algorithm that designs beamforming vectors, as well as phase-shifts at the IRS, such that the active attacker is blinded. Our numerical investigations confirm that the proposed algorithm can suppress the active eavesdropper effectively, as long as legitimate and malicious terminals are statistically distinguishable.
