论文标题
基于IRS的无线干扰攻击：当干扰者可以无力攻击时
IRS-based Wireless Jamming Attacks: When Jammers can Attack without Power
论文作者
论文摘要
本文建议将智能反射表面（IRS）用作绿色干扰器，以攻击合法的交流，而无需使用任何内部能量来产生干扰信号。特别是，美国国税局用于智能反映从合法发射器到合法接收器（LR）的信号，以确保可以破坏性地添加来自直接和反射链接的接收信号，从而降低了LR的信号 - 接触式 - 互动 - 毫米 - 噪声比率（SINR）。为了最大程度地降低LR接收的信号功率，我们考虑了反射系数的幅度的关节优化和IRS处离散相移的关节。基于块坐标下降，半限定弛豫和高斯随机化技术，可以有效地获得溶液。通过仿真结果，我们表明，通过使用基于IRS的干扰器，我们可以将LR处接收到的信号功率降低高达99 \％。有趣的是，在某些情况下，提议的基于IRS的干扰器的性能比传统的主动式攻击的表现要好。
This paper proposes to use Intelligent Reflecting Surface (IRS) as a green jammer to attack a legitimate communication without using any internal energy to generate jamming signals. In particular, the IRS is used to intelligently reflect the signals from the legitimate transmitter to the legitimate receiver (LR) to guarantee that the received signals from direct and reflecting links can be added destructively, which thus diminishes the Signal-to-Interference-plus-Noise Ratio (SINR) at the LR. To minimize the received signal power at the LR, we consider the joint optimization of magnitudes of reflection coefficients and discrete phase shifts at the IRS. Based on the block coordinate descent, semidefinite relaxation, and Gaussian randomization techniques, the solution can be obtained efficiently. Through simulation results, we show that by using the IRS-based jammer, we can reduce the signal power received at the LR by up to 99\%. Interestingly, the performance of the proposed IRS-based jammer is even better than that of the conventional active jamming attacks in some scenarios.
