MmWave MIMO Physical layer Authentication by Using Channel Sparsity

Abstract

MmWave MIMO communication is an emerging technique to enable the gigabit-per-second data communication rates for Internet of Things (IoT) networks. However, mmWave IoT networks face serious security spoofing attack threats. The lightweight channel-based physical layer authentication can detect spoofing attacks in IoT networks, which has attracted great attentions. However, current schemes are mainly focused on sub-6 GHz microwave communication systems. In this work, we study an efficient physical layer channel based authentication by using sparse propriety of mmWave MIMO channel. By extracting the low-rank and sparse peak of virtual angle of arrival (AoA) and departure (AoD) information of mmWave MIMO virtual channel in the beamspace domain, we shows its validity and effectiveness to improve the authentication performance. The simulation results verified the validity and effectiveness of the proposed scheme.