Random-training-aided pilot spoofing detection

The pilot spoofing attack is considered as an active eavesdropping activity launched by an adversary during the reverse channel training phase. By transmitting the identical pilot signal as that of the legitimate user, the pilot spoofing attack can degrade legitimate transmission and, more severely, facilitate eavesdropping. This paper considers the problem of detecting pilot spoofing attack for a typical multi-input single-output (MISO) wiretap system. We slightly modify the conventional training mechanism and divide the procedure into pilot phase and random phase. By examining the difference of estimated legitimate channels during these two phases, a novel random-training-aided (RTA) detection algorithm is proposed to identify the existence of the pilot spoofing attack. Extensive simulation results illustrate that our proposed RTA scheme can achieve accurate pilot spoofing detection.