Detection of pilot spoofing attack in multi-antenna systems using modified FDC criterion: A random matrix approach

Nie, Xizhu; Jiang, Hong; Zhang, Minghang

doi:10.1109/compcomm.2017.8322717

Cited by 2 publications

(2 citation statements)

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“…This is of high importance especially for operation in hostile environments. The problems of jamming detection and suppression are discussed in many of the prior works in the field of physical layer security in massive MIMO systems [8][9][10][11][12][13][14][15][16][17][18][19]. In [8], a jamming attack detection scheme is proposed based on pilots drawn randomly from a known constellation.…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [9,10] use additional signaling and cooperation between the BS and users to suggest jamming attack detection methods. Two approaches based on random matrix theory for jamming detection have been proposed in [11,12] in which the authors use the rank of the received signal's covariance matrix and eigenvalues of the received signal matrix. Also in [13], the intentionally unallocated pilots are leveraged by the authors to propose a jamming detection technique.…”

Section: Introductionmentioning

confidence: 99%

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Direction‐based jamming detection and suppression in mmWave massive MIMO networks

Bagherinejad

Razavizadeh

2021

IET Communications

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In this paper, the problem of physical layer security in the uplink of millimeter-wave massive multiple-input multiple-output (MIMO) networks is studied and a jamming detection and suppression method is proposed. The proposed method is based on directional information of the received signals at the base station antenna array. The proposed jamming detection method can accurately detect both the existence and direction of the jammer using the received pilot signals in the training phase. The obtained information is then exploited to develop a channel estimator that excludes the jammer's angular subspace from received training signals. The estimated channel information is then used for designing a combiner at the base station that is able to effectively cancel out the deliberate interference of the jammer. By numerical simulations, the performance of the proposed jamming detection method is evaluated in terms of correct detection probability and false alarm probability, and its effectiveness when the jammer's power is substantially lower than the user's power is shown. Also, the results show that the proposed jamming suppression method can achieve a very close spectral efficiency as the case of no jamming in the network.

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