Reference : Detection of pilot contamination attack using random training and massive MIMO

	Document type :	Scientific congresses, symposiums and conference proceedings : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/10993/14900

Title :	Detection of pilot contamination attack using random training and massive MIMO
Language :	English
Author, co-author :	Kapetanovic, D. [> >]
	Zheng, Gan [> >]
	Wong [> >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	2013
Main document title :	Personal Indoor and Mobile Radio Communications (PIMRC), 2013 IEEE 24th International Symposium on
Peer reviewed :	Yes
Audience :	International
Event name :	IEEE 24th International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC)
Event date :	from 8-09-2013 to 11-09-2013
Event organizer :	IEEE
Event place (city) :	London
Event country :	UK
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.
Target :	Researchers ; Professionals ; Students ; Others
Permalink :	http://hdl.handle.net/10993/14900
DOI :	10.1109/PIMRC.2013.6666096

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