Physical layer security using massive multiple-input and multiple-output: passive and active eavesdroppers

被引:31
|
作者
Al-nahari, Azzam [1 ]
机构
[1] Ibb Univ, Dept Elect Engn, Ibb, Yemen
关键词
MIMO communication; telecommunication security; wireless channels; radio receivers; protocols; probability; physical layer security; active eavesdroppers; large-scale multiple-input; large-scale multiple-output; channel properties; confidential messages; legitimate receiver; channel information; massive multiple-input and multiple-output system; MIMO system; TDD mode; multiantennas eavesdropper; channel state information; CSI; passive eavesdropping; secrecy rate; transmit antennas; protocol; intercept probability; DIVERSITY; WIRELESS;
D O I
10.1049/iet-com.2015.0216
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Physical layer security is considered as a promising technique that exploits the channel properties in order to send confidential messages to the legitimate receiver even in the presence of a powerful eavesdropper and the absence of its channel information. In this study, the authors consider the effect of massive multiple-input and multiple-output (MMIMO) system operating in TDD mode in improving the physical layer security in the presence of multi-antennas eavesdropper. The channel state information (CSI) of the eavesdropper is assumed not known at the transmitter side, and also imperfect CSI of the legitimate receiver is assumed. The first important finding is that MMIMO is a valuable technique to combat passive eavesdropping, where it is shown that the achievable secrecy rate increases logarithmically with the number of transmit antennas. However, the eavesdropper can be active and attack the training phase of the legitimate transmitter. As a consequence, this dramatically reduces the achievable secrecy rate. The second contribution of this study is a simple protocol that can effectively detect this attack so that a countermeasure can be taken. Closed-form expressions for the detection and false-alarm probabilities are derived. Moreover, the authors analyse the intercept probability and show that asymptotically exponential diversity is achieved.
引用
收藏
页码:50 / 56
页数:7
相关论文
共 50 条
  • [41] Stochastic channel models for massive and extreme large multiple-input multiple-output systems
    May Taniguchi, Ligia
    Abrao, Taufik
    TRANSACTIONS ON EMERGING TELECOMMUNICATIONS TECHNOLOGIES, 2020, 31 (09):
  • [42] Adaptive Statistical based Channel Estimation for Massive Multiple-Input Multiple-Output system
    Kanmani, M.
    Kannan, M.
    2018 IEEE INTERNATIONAL CONFERENCE ON ELECTRO/INFORMATION TECHNOLOGY (EIT), 2018, : 1035 - 1040
  • [43] A reconfigurable Multiple-Input Multiple-Output communication system
    Grau, Alfred
    Jafarkhani, Hamid
    De Flaviis, Franco
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2008, 7 (05) : 1719 - 1733
  • [44] Exploiting multiple-input multiple-output in the personal sphere
    Neirynck, D.
    Williams, C.
    Nix, A.
    Beach, M.
    IET MICROWAVES ANTENNAS & PROPAGATION, 2007, 1 (06) : 1170 - 1176
  • [45] Time Reversal in Multiple-Input Multiple-Output Radar
    Jin, Yuanwei
    Moura, Jose M. F.
    O'Donoughue, Nicholas
    IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2010, 4 (01) : 210 - 225
  • [46] Multiple-input multiple-output passive time reversal acoustic communication using filtered multitone modulation
    Li, Haisen
    Sun, Lin
    Du, Weidong
    Zhou, Tian
    Chen, Baowei
    APPLIED ACOUSTICS, 2017, 119 : 29 - 38
  • [47] Multiple-Input Multiple-Output Dynamic Charging using Multiple Parallel Line Feeders
    Brou, William-Fabrice
    Duong Quang Thang
    Okada, Minoru
    2016 IEEE INTERNATIONAL WORKSHOP ON ANTENNA TECHNOLOGY (IWAT), 2016, : 182 - 185
  • [48] A layer-adaptive M algorithm for multiple-input multiple-output channel detection
    Milliner, David L.
    Barry, John R.
    2007 IEEE 8TH WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS, VOLS 1 AND 2, 2007, : 250 - +
  • [49] Restricting Multiple-Output Multiple-Input DEA Models by Disaggregating the Output–Input Vector
    John Salerian
    Chris Chan
    Journal of Productivity Analysis, 2005, 24 : 5 - 29
  • [50] Linear Programming Based Pilot Allocation in TDD Massive Multiple-Input Multiple-Output Systems
    Dong, Guannan
    Zhou, Xiaotian
    Zhang, Haixia
    Yuan, Dongfeng
    2016 IEEE 83RD VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2016,