Detection of pilot contamination attack in the MU-MISOME broadcast channels

Park, Junguk; Yun, Sangseok; Ha, Jeongseok

doi:10.1109/ictc.2016.7763557

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…Focusing on channel separation, we assume the detection of MUs is perfect. Reiterating our attack model, N M and N L are known to the BS based on extensively research on attack detection techniques [7]- [19]. Following the existing works, we assume that each user has single antenna and the system works in TDD mode.…”

Section: System Modelmentioning

confidence: 99%

“…Refs. [19] and [7] give detection methods performed by LUs. In these methods, the LUs and the BS respectively estimate the channel using a two-way training mechanism.…”

Section: Introductionmentioning

confidence: 99%

“…To facilitate channel estimation, MUs are assumed to conduct PJA by sending Gaussian noise or conduct PSA by sending a combination of several pilot sequences with uniform power. 4) Summary of related works: We note that attack detection methods have been investigated extensively [7]- [19]. Some PSA detection methods can be extended for PJA or PSJA detection.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Blind Channel Separation in Massive MIMO System under Pilot Spoofing and Jamming Attack

Cao¹,

Wong²,

Gao³

et al. 2019

Preprint

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We consider a channel separation approach to counter the pilot attack in a massive MIMO system, where malicious users (MUs) perform pilot spoofing and jamming attack (PSJA) in uplink by sending symbols to the basestation (BS) during the channel estimation (CE) phase of the legitimate users (LUs).More specifically, the PSJA strategies employed by the MUs may include (i) sending the random symbols according to arbitrary stationary or non-stationary distributions that are unknown to the BS; (ii) sending the jamming symbols that are correlative to those of the LUs. We analyze the empirical distribution of the received pilot signals (ED-RPS) at the BS, and prove that its characteristic function (CF) asymptotically approaches to the product of the CFs of the desired signal (DS) and the noise, where the DS is the product of the channel matrix and the signal sequences sent by the LUs/MUs. These observations motivate a novel two-step blind channel separation method, wherein we first estimate the CF of DS from the ED-RPS and then extract the alphabet of the DS to separate the channels. Both analysis and simulation results show that the proposed method achieves good channel separation performance in massive MIMO systems.

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Section: System Modelmentioning

confidence: 99%

“…Refs. [19] and [7] give detection methods performed by LUs. In these methods, the LUs and the BS respectively estimate the channel using a two-way training mechanism.…”

Section: Introductionmentioning

confidence: 99%