DEMO: Demonstrating Practical Known-Plaintext Attacks against Physical Layer Security in Wireless MIMO Systems

Matthias Schulz, Adrian Loch, M. Hollick
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Abstract

After being widely studied in theory, physical layer security schemes are getting closer to enter the consumer market. Still, a thorough practical analysis of their resilience against attacks is missing. In this work, we use software-defined radios to implement such a physical layer security scheme, namely, orthogonal blinding. To this end, we use orthogonal frequency-division multiplexing (OFDM) as a physical layer, similarly to WiFi. In orthogonal blinding, a multi-antenna transmitter overlays the data it transmits with noise in such a way that every node except the intended receiver is disturbed by the noise. Still, our known-plaintext attack can extract the data signal at an eavesdropper by means of an adaptive filter trained using a few known data symbols. Our demonstrator illustrates the iterative training process at the symbol level, thus showing the practicability of the attack.
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演示:演示无线MIMO系统中针对物理层安全的实际已知明文攻击
经过理论上的广泛研究,物理层安全方案进入消费市场的距离越来越近。然而,对它们抵御攻击的弹性进行彻底的实际分析是缺失的。在这项工作中,我们使用软件定义无线电来实现这种物理层安全方案,即正交盲。为此,我们使用正交频分复用(OFDM)作为物理层,类似于WiFi。在正交盲法中,多天线发射机用噪声覆盖它所传输的数据,这样一来,除了预定的接收器之外的每个节点都受到噪声的干扰。尽管如此,我们的已知明文攻击可以通过使用几个已知数据符号训练的自适应滤波器提取窃听者的数据信号。我们的演示演示了符号级的迭代训练过程,从而显示了攻击的实用性。
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