Secure Transmission Against Pilot Spoofing Attack: A Two-Way Training-Based Scheme

Xiong, Qi; Liang, Ying-Chang; Li, Kwok Hung; Gong, Yi; Han, Shiying

doi:10.1109/tifs.2016.2516825

Cited by 75 publications

(45 citation statements)

References 19 publications

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“…which satisfy the constraints in L. We should compute ρ ⋆ m just for a few values of the variable φ (e.g., 99 values with equal step size 0.01) in the interval (0, 1), and then compare the results to find their maximum value. For each value of φ, we compute the inversion of a matrix with dimensions M 2 × M 2 to obtain ρ ⋆ m according to (14), subsequently the complexity is of the order M 6 . To reduce the complexity, we can rewrite (14) as…”

Section: Computational Complexitymentioning

confidence: 99%

“…For each value of φ, we compute the inversion of a matrix with dimensions M 2 × M 2 to obtain ρ ⋆ m according to (14), subsequently the complexity is of the order M 6 . To reduce the complexity, we can rewrite (14) as…”

Section: Computational Complexitymentioning

confidence: 99%

“…Optimal power control for preventing eavesdropping in the downlink transmission of the cell-free massive MIMO systems is proposed in [17] for ideal hardware and in [18] for non-ideal hardware. Previous works have either considered security problem in the presence of active eavesdropper [14]− [18] or jamming suppression problem for only uncorrelated Rayleigh fading channels [10]− [13]. In general, the jammer's strategy depends on its objective and its available information.…”

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confidence: 99%

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Jamming-Robust Uplink Transmission for Spatially Correlated Massive MIMO Systems

Akhlaghpasand

Björnson

Razavizadeh

2020

IEEE Trans. Commun.

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In this paper, we consider how the uplink transmission of a spatially correlated massive multiple-input multipleoutput (MIMO) system can be protected from a jamming attack. To suppress the jamming, we propose a novel framework including a new optimal linear estimator in the training phase and a bilinear equalizer in the data phase.The proposed estimator is optimal in the sense of maximizing the spectral efficiency of the legitimate system attacked by a jammer, and its implementation needs the statistical knowledge about the jammer's channel. We derive an efficient algorithm to estimate the jamming information needed for implementation of the proposed framework. Furthermore, we demonstrate that optimized power allocation at the legitimate users can improve the performance of the proposed framework regardless of the jamming power optimization. Our proposed framework can be exploited to combat jamming in scenarios with either ideal or non-ideal hardware at the legitimate users and the jammer. Numerical results reveal that using the proposed framework, the jammer cannot dramatically affect the performance of the legitimate system.

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Section: Computational Complexitymentioning

confidence: 99%

Section: Computational Complexitymentioning

confidence: 99%

mentioning

confidence: 99%

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Jamming-Robust Uplink Transmission for Spatially Correlated Massive MIMO Systems

Akhlaghpasand

Björnson

Razavizadeh

2020

IEEE Trans. Commun.

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“…In the literature, there are other works on channel estimation for secret information transmission such as [8]- [10]. But they are not very relevant to this paper as the interest here is to prevent Eve from obtaining its CSI with respect to every transmitter of secret information.…”

Section: Introductionmentioning

confidence: 99%

Optimal Pilots for Anti-Eavesdropping Channel Estimation

Zhu¹,

Wu²,

Hua³

2020

IEEE Trans. Signal Process.

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Anti-eavesdropping channel estimation (ANECE) is a method that uses specially designed pilot signals to allow two or more full-duplex radio devices each with one or more antennas to estimate their channel state information (CSI) consistently and at the same time prevent eavesdropper (Eve) with any number of antennas from obtaining its CSI consistently. This paper presents optimal designs of the pilots for ANECE based on two criteria. The first is the mean squared error (MSE) of channel estimation for the users, and the second is the mutual information (MI) between the pilot-driven signals observed by the users. Closed-form optimal pilots are shown under the sum-MSE and sum-MI criteria subject to a symmetric and isotropic condition. Algorithms for computing the optimal pilots are shown for general cases. Fairness issues for three or more users are discussed. The performances of different designs are compared.

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“…Prior works on the pilot contamination attack have studied mechanisms for enhancing the eavesdropper's performance [25][26][27][28]. Other works propose various approaches for detecting the pilot contamination attack [29][30][31][32][33]. Although these schemes can detect a pilot contamination attack with high probability, [29][30][31][32][33] do not provide an effective transmission scheme in the presence of a pilot contamination attack.…”

Section: Introductionmentioning

confidence: 99%

Data-Aided Secure Massive MIMO Transmission Under the Pilot Contamination Attack

Wen

Chen

et al. 2019

IEEE Trans. Commun.

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In this paper, we study the design of secure communication for time division duplex multi-cell multi-user massive multiple-input multiple-output (MIMO) systems with active eavesdropping. We assume that the eavesdropper actively attacks the uplink pilot transmission and the uplink data transmission before eavesdropping the downlink data transmission of the users. We exploit both the received pilots and the received data signals for uplink channel estimation. We show analytically that when the number of transmit antennas and the length of the data vector both tend to infinity, the signals of the desired user and the eavesdropper lie in different eigenspaces of the received signal matrix at the base station provided that their signal powers are different. This finding reveals that decreasing (instead of increasing) the desired user's signal power might be an effective approach to combat a strong active attack from an eavesdropper. Inspired by this observation, we propose a data-aided secure downlink transmission scheme and derive an asymptotic achievable secrecy sum-rate expression for the proposed design. For the special case of a single-cell singleuser system with independent and identically distributed fading, the obtained expression reveals that the secrecy rate scales logarithmically with the number of transmit antennas. This is the same scaling law as for the achievable rate of a singleuser massive MIMO system in the absence of eavesdroppers. Numerical results indicate that the proposed scheme achieves significant secrecy rate gains compared to alternative approaches based on matched filter precoding with artificial noise generation and null space transmission.

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Secure Transmission Against Pilot Spoofing Attack: A Two-Way Training-Based Scheme

Cited by 75 publications

References 19 publications

Jamming-Robust Uplink Transmission for Spatially Correlated Massive MIMO Systems

Jamming-Robust Uplink Transmission for Spatially Correlated Massive MIMO Systems

Optimal Pilots for Anti-Eavesdropping Channel Estimation

Data-Aided Secure Massive MIMO Transmission Under the Pilot Contamination Attack

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