Title of Paper:Robust Random-Training-Aided Pilot Spoofing Detector and Secure Transmission

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Date of Publication:2018-01-01

Included Journals:CPCI-S

Volume:2018-April

Page Number:1-6

Key Words:Pilot spooling detection; active eavesdropping; physical layer security; iterative least-squares; random training

Abstract:Acting like a legitimate user via sending identical pilot signals, the pilot spooling attack launched by an active eavesdropper can disrupt the reception of the legitimate receiver and, more importantly, cause severe information leakage. Although such an attack can be detected by the recently presented random-training-aided (RTA) pilot spoofing detector with high accuracy and low complexity, the assumption that the active eavesdropper remains silent during the random phase limits the usage of RTA algorithm in practice. In addition, a natural question to ask is how to secure the data transmission after spooling detection. Motivated by these two aspects, in this paper we first investigate the robustness of RTA pilot spoofing detector and illustrate that it can provide high detection accuracy even when the eavesdropper is active during the random phase. Then, we further propose a zero-forcing (ZF)-based secure transmission approach to protect the legitimate transmission from eavesdropping in case of the missed detection of the active eavesdropper. Simulation studies demonstrate the robustness of the RTA pilot spoofing detector and the satisfactory performance of the proposed secure transmission strategy.