Reference : Detection of pilot contamination attack using random training and massive MIMO
Scientific congresses, symposiums and conference proceedings : Paper published in a book
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/14900
Detection of pilot contamination attack using random training and massive MIMO
English
Kapetanovic, D. [> >]
Zheng, Gan [> >]
Wong [> >]
Ottersten, Björn mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2013
Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
Yes
International
IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC)
from 8-09-2013 to 11-09-2013
IEEE
London
UK
[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.
Researchers ; Professionals ; Students ; Others
http://hdl.handle.net/10993/14900
10.1109/PIMRC.2013.6666096

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