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Detection of pilot contamination attack using random training and massive MIMO
Kapetanovic, D.; Zheng, Gan; Wong et al.
2013In Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
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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 :
Computer science
Author, co-author :
Kapetanovic, D.
Zheng, Gan 
Wong
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 :
2013
Event name :
IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC)
Event organizer :
IEEE
Event place :
London, United Kingdom
Event date :
from 8-09-2013 to 11-09-2013
Audience :
International
Main work title :
Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 14 January 2014

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