• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Wiretapping Strategies for Artificial Noise Assisted Communication in MU-MIMO wiretap channel


Abstract

We investigate the opposite of artificial noise (AN)-assisted communication in multiple-input–multiple-output (MIMO) wiretap channels for the multiuser case by taking the side of the eavesdropper. We first define a framework for an AN-assisted multiuser multiple-input–multiple-output (MU-MIMO) system, for which eavesdropping methods are proposed with and without knowledge of legitimate users’ channel state information (CSI). The proposed method without CSI is based on a modified joint approximate diagonalization of eigen-matrices algorithm, which eliminates permutation indetermination and phase ambiguity, as well as the minimum description length algorithm, which blindly estimates the number of secret data sources. Simulation results show that both proposed methods can intercept information effectively. In addition, the proposed method without legitimate users’ CSI performs well in terms of robustness and computational complexity.


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Cite this article

[IEEE Style]
Shu Wang, Xinyu Da and Zhenyong Chu, "Wiretapping Strategies for Artificial Noise Assisted Communication in MU-MIMO wiretap channel," KSII Transactions on Internet and Information Systems, vol. 10, no. 5, pp. 2166-2180, 2016. DOI: 10.3837/tiis.2016.05.012

[ACM Style]
Wang, S., Da, X., and Chu, Z. 2016. Wiretapping Strategies for Artificial Noise Assisted Communication in MU-MIMO wiretap channel. KSII Transactions on Internet and Information Systems, 10, 5, (2016), 2166-2180. DOI: 10.3837/tiis.2016.05.012