Exploiting RIS for Limiting Information Leakage to Active Eavesdropper in Cell-Free Massive MIMO

Elhoushy, Salah; Ibrahim, Mohamed; Hamouda, Walaa

doi:10.1109/lwc.2021.3130169

Cited by 28 publications

(19 citation statements)

References 9 publications

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“…For the RIS-assisted massive multiple-input multiple-output (MIMO) scenario with an eavesdropper, it is time-consuming to find optimal beamforming and phase shifter by alternating optimization because the dimensionality of parameters is very large. In this case, Elhoushy et al simplified the RIS-assisted PLS scheme by using closed-form beamforming, i.e., the zero-forcing (ZF) precoding technology, then found the optimal phase shifter matrix to improve the secrecy rate [20]. Nowadays, the RIS device is deployed in the millimeter-wave system where a stochastic learning method is presented to tackle the random blockage problem [25].…”

Section: B Secure Beamforming With Phase Shifter Adjustmentsmentioning

confidence: 99%

“…The instantaneous CSIs of eavesdroppers are usually unknown when the eavesdroppers keep silent, which is a usual issue but ignored in recent RIS-assisted PLS researches [10]- [20]. The above works maximize the secrecy capacity or secrecy rate via beamforming and phase shifter optimization, assuming that instantaneous CSIs of eavesdroppers are available.…”

Section: Introductionmentioning

confidence: 99%

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Minimization of Secrecy Outage Probability in Reconfigurable Intelligent Surface-Assisted MIMOME System

Liu¹,

Zhou²,

Zhang³

et al. 2022

Preprint

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This article investigates physical layer security (PLS) in reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output multiple-antenna-eavesdropper (MIMOME) channels. Existing researches ignore the problem that secrecy rate can not be calculated if the eavesdropper's instantaneous channel state information (CSI) is unknown. Furthermore, without the secrecy rate expression, beamforming and phase shifter optimization with the purpose of PLS enhancement is not available. To address these problems, we first give the expression of secrecy outage probability for any beamforming vector and phase shifter matrix as the RIS-assisted PLS metric, which is measured based on the eavesdropper's statistical CSI. Then, with the aid of the expression, we formulate the minimization problem of secrecy outage probability that is solved via alternately optimizing beamforming vectors and phase shift matrices. In the case of single-antenna transmitter or single-antenna legitimate receiver, the proposed alternating optimization (AO) scheme can be simplified to reduce computational complexity. Finally, it is demonstrated that the secrecy outage probability is significantly reduced with the proposed methods compared to current RIS-assisted PLS systems.

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Section: B Secure Beamforming With Phase Shifter Adjustmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Minimization of Secrecy Outage Probability in Reconfigurable Intelligent Surface-Assisted MIMOME System

Liu¹,

Zhou²,

Zhang³

et al. 2022

Preprint

View full text Add to dashboard Cite

show abstract

“…e authors of [27] proposed the use of an IRS to enhance the secrecy of a cell-free massive MIMO system in an experimental pilot spoofing attack scenario. By optimizing the transmit power coefficient of the AP and the IRS phase shift to design a secure and robust downlink transmission scheme.…”

Section: Introductionmentioning

confidence: 99%

Secure Downlink Transmission in Cell-Free Massive MIMO System Enhanced by Intelligent Reflecting Surfaces

Xie

et al. 2022

Security and Communication Networks

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This paper presents the application of intelligent reflecting surfaces (IRSs) in a cell-free massive MIMO network to enhance secure transmission in the system. Multiantenna access points (APs) need to transmit information to users safely and reliably via IRSs without fully knowing the channel state information (CSI) of a multiantenna eavesdropper (Eve) or the accurate beamforming information of a jammer. Specifically, through joint optimization of the AP active beamforming (ABF) and IRS passive beamforming (PBF), the information leaked to the Eve is limited by a set threshold, and restrictions on the IRS reflection phase are considered to maximize the weighted sum rate of the system’s downlink transmission. To solve this multivariate-coupled nonconvex problem, we propose a joint precoding framework under imperfect CSI, using the generalized S-procedure, fractional programming (FP), and multidimensional complex quadratic transformation (MCQT) to transform the original complex nonconvex problem into an easily solvable convex optimization problem, and an alternating algorithm to obtain the optimal solution for precoding and IRS phase shifting. Simulation results show that the proposed scheme can significantly increase the weighted sum rate of the system compared to conventional antijamming methods while revealing that the scheme is effective in enhancing secure system transmission.

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“…Research on security performance was expanded by introducing novel technologies. 24,25 Alageli et al 24 have delved into the problem of secure communication assuming that there is an untrusted dual-antenna energy harvester in the network. One antenna is used to harvest energy, whereas the other one intercepts information signals as an active eavesdropper.…”

Section: Introductionmentioning

confidence: 99%

“…One antenna is used to harvest energy, whereas the other one intercepts information signals as an active eavesdropper. Elhoushy et al 25 have enhanced the robustness of network security against pilot spoofing attacks by applying reconfigurable intelligent surface, which reconfigures the wireless propagation channels through software-controlled reflections. Based on more realistic consideration of low-resolution analog-to-digital converters, secure communication with active eavesdroppers has been studied by Zhang et al 26 However, the abovementioned research on PLS is all limited to single-antenna APs.…”

Section: Introductionmentioning

confidence: 99%

Security performance analysis for cell-free massive multiple-input multiple-output system with multi-antenna access points deployment in presence of active eavesdropping

Wang

Gao

Zhang

et al. 2022

International Journal of Distributed Sensor Networks

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This article investigates the influence of multiple-antenna deployment at access points on physical layer security under cell-free massive multiple-input multiple-output systems. To embody the concept of network multiple-input multiple-output, cell-free massive multiple-input multiple-output employs a great deal of geographically distributed access points, which jointly serve multiple users in the same frequency-time resource. Assuming a malicious active eavesdropper having knowledge of instantaneous channel state information, we derive the asymptotic closed-form expression of the achievable secrecy rate, which is used to evaluate network security performance. A distributed power allocation scheme is developed based on channel fading degrees of different users. All of access points distribute a larger proportion of local transmission power to the users with better channel conditions. We verified that the security performance of the multi-antenna access points outperforms that of the single one. Compared to equal power allocation, the proposed power control algorithm can further boost the network security performance.

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Exploiting RIS for Limiting Information Leakage to Active Eavesdropper in Cell-Free Massive MIMO

Cited by 28 publications

References 9 publications

Minimization of Secrecy Outage Probability in Reconfigurable Intelligent Surface-Assisted MIMOME System

Minimization of Secrecy Outage Probability in Reconfigurable Intelligent Surface-Assisted MIMOME System

Secure Downlink Transmission in Cell-Free Massive MIMO System Enhanced by Intelligent Reflecting Surfaces

Security performance analysis for cell-free massive multiple-input multiple-output system with multi-antenna access points deployment in presence of active eavesdropping

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