• DocumentCode
    645013
  • Title

    Detection of pilot contamination attack using random training and massive MIMO

  • Author

    Kapetanovic, Dzevdan ; Zheng, Gan ; Wong, Kai-Kit ; Ottersten, Bjorn

  • Author_Institution
    Interdisciplinary Center for Security, Reliability and Trust (SnT), University of Luxembourg, Luxembourg
  • fYear
    2013
  • fDate
    8-11 Sept. 2013
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    Channel estimation attacks can degrade the performance of the legitimate system and facilitate eavesdropping. It is known that pilot contamination can alter the legitimate transmit precoder design and strengthen the quality of the received signal at the eavesdropper, without being detected. In this paper, we devise a technique which employs random pilots chosen from a known set of phase-shift keying (PSK) symbols to detect pilot contamination. The scheme only requires two training periods without any prior channel knowledge. Our analysis demonstrates that using the proposed technique in a massive MIMO system, the detection probability of pilot contamination attacks can be made arbitrarily close to 1. Simulation results reveal that the proposed technique can significantly increase the detection probability and is robust to noise power as well as the eavesdropper´s power.
  • Keywords
    Antennas; Channel estimation; MIMO; Phase shift keying; Signal to noise ratio; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
  • Conference_Location
    London, United Kingdom
  • ISSN
    2166-9570
  • Type

    conf

  • DOI
    10.1109/PIMRC.2013.6666096
  • Filename
    6666096