Title
Secure Performance Analysis And Detection Of Pilot Attack In Massive Multiple-Input Multiple-Output System
Abstract
This article studies the physical layer security of massive multiple-input multiple-output system in time-division-duplex mode. Specifically, a single-cell downlink massive multiple-input multiple-output communication system is considered. The resulting achievable secrecy rate is investigated in the presence of passive or active eavesdroppers. The analytical results reveal that the massive multiple-input multiple-output system is naturally immune to passive eavesdroppers, but will be dramatically degraded by active attack. On account of the risk caused by active attack, a simple and effective detection algorithm is proposed. Uplink pilots with random phases are transmitted during the detection operation. By comparing the phase deviation change of the received pilot signals' cross product, the active eavesdroppers can be detected exactly. The closed-form expressions for probabilities of detection, false alarm, and false rejection are obtained respectively, which can demonstrate the robust performance of the proposed detection scheme. To maximize the secrecy energy efficiency of the system, the optimal power allocation strategy is studied under total power constraints. This optimization problem is efficiently solved by fractional programming. Numerical simulation results are derived to validate the secrecy performance of the massive multiple-input multiple-output system, the active pilot attacker detection performance, and the energy efficiency optimization effect.
Year
DOI
Venue
2018
10.1177/1550147718776922
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Keywords
Field
DocType
Massive multiple-input multiple-output, physical layer security, active pilot attack, detection of active eavesdropping, energy efficiency
False alarm,Expression (mathematics),Cross product,Computer science,Efficient energy use,Secrecy,Computer network,Communications system,Physical layer,Telecommunications link
Journal
Volume
Issue
ISSN
14
5
1550-1477
Citations 
PageRank 
References 
0
0.34
23
Authors
3
Name
Order
Citations
PageRank
Xianyu Zhang1113.91
Daoxing Guo26927.71
kefeng guo36112.37