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Detection of Pilot Contamination Attack Using Random Training and Massive MIMO
Kapetanovic, Dzevdan; Zheng, Gan; Wong, Kai-Kit et al.
2013In IEEE Personal Indoor, Mobile and Radio Conference (PIMRC) 2013
Peer reviewed
 

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Keywords :
Massive MIMO; Pilot contamination
Abstract :
[en] 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.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Kapetanovic, Dzevdan ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Zheng, Gan 
Wong, Kai-Kit
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Language :
English
Title :
Detection of Pilot Contamination Attack Using Random Training and Massive MIMO
Publication date :
09 September 2013
Event name :
IEEE Personal Indoor, Mobile and Radio Conference (PIMRC) 2013
Event date :
from 08-09-2013 to 11-09-2013
Main work title :
IEEE Personal Indoor, Mobile and Radio Conference (PIMRC) 2013
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 20 January 2014

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