The massive multiple-input multiple-output (MIMO) technique is recognized as the corner stone of the next generation mobile communication systems. However, its uplink-training downlink-transmission mechanism contains a severe security breach. If the uplink training sequence is artificially contaminated by some active attackers, the downlink beamforming can significantly deviate from the legitimate user and could be focused on the eavesdropper's location. This active pilot contamination attack (PCA) not only blocks the legitimate communication, but yields user information leakage. In this work, a random symbol based PCA detection method is proposed. The "secure region" is derived theoretically according to the statistical distribution of the detection statistics, which enables a more accurate PCA detection. The energy examination mechanism is also used to force the attacker sending the random symbols and exposing itself in the random symbol based attack detection. Finally, the theoretical analysis and simulation results demonstrate the superior performance of the proposed method.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Pilot Contamination Attack Detection Using Random Symbols for Massive MIMO Systems


    Contributors:
    Wang, Xiaoyi (author) / Liu, Ming (author) / Wang, Dong (author) / Zhong, Caijun (author)


    Publication date :

    2017-06-01


    Size :

    987003 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Eliminating Pilot Contamination Using Dual Pilot Sequences in Massive MIMO

    Aljalai, A. Nasser / Feng, Chen / Leung, Victor C. M. et al. | IEEE | 2017



    On the Performance of TDD Massive MIMO Systems with Pilot Contamination

    Alkhaled, Makram / Alsusa, Emad / So, Daniel K.C. | IEEE | 2017



    A DDPG-Based Procedure for Mitigating Pilot Contamination in Massive MIMO RSMA Systems

    Dutra Bueno, Felipe Augusto / Marinello Filho, Jose Carlos / Ngatched, Telex M.N. | IEEE | 2024