Physical Layer Security in Vehicular Networks with Reconfigurable Intelligent Surfaces

Makarfi, Abubakar U.; Rabie, Khaled M.; Kaiwartya, Omprakash; Li, Xingwang; Kharel, Rupak

doi:10.1109/vtc2020-spring48590.2020.9128438

Cited by 115 publications

(80 citation statements)

References 23 publications

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“…In [209], the authors study the physical layer security in a vehicular network that employs an RIS. Two network models are investigated: A vehicle-to-vehicle communication in which the transmitter employs an RIS-equipped access point, and a vehicular ad-hoc network in which an RIS-equipped relay in deployed in a building.…”

Section: K Physical Layer Securitymentioning

confidence: 99%

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Renzo

Zappone

Debbah

et al. 2020

IEEE J. Select. Areas Commun.

2,226

918

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What is a reconfigurable intelligent surface? What is a smart radio environment? What is a metasurface? How do metasurfaces work and how to model them? How to reconcile the mathematical theories of communication and electromagnetism? What are the most suitable uses and applications of reconfigurable intelligent surfaces in wireless networks? What are the most promising smart radio environments for wireless applications? What is the current state of research? What are the most important and challenging research issues to tackle? These are a few of the many questions that we investigate in this short opus, which has the threefold objective of introducing the emerging research field of smart radio environments empowered by reconfigurable intelligent surfaces, putting forth the need of reconciling and reuniting C. E. Shannon's mathematical theory of communication with G. Green's and J. C. Maxwell's mathematical theories of electromagnetism, and reporting pragmatic guidelines and recipes for employing appropriate physics-based models of metasurfaces in wireless communications.

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Section: K Physical Layer Securitymentioning

confidence: 99%

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Renzo

Zappone

Debbah

et al. 2020

IEEE J. Select. Areas Commun.

2,226

918

View full text Add to dashboard Cite

show abstract

“…In fact, RIS is proven to help compensating the multipath and Doppler effects in wireless propagation channels [6]. Capitalizing on this advantage, an analytical approach is followed in [29], [30] to optimize the SC in a VANET, where two setups are proposed to investigate the PLS. The first setup assumes a source, a destination, and an eavesdropping vehicle communicating with the support of an RIS mounted on a nearby building, while the second setup assumes that the source vehicle has an RIS coupled with its transmitter.…”

Section: -(A)mentioning

confidence: 99%

Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey

Almohamad

Tahir

Al‐Kababji

et al. 2020

IEEE Open J. Commun. Soc.

109

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With the emergence of the internet of things (IoT) technology, wireless connectivity should be more ubiquitous than ever. In fact, the availability of wireless connection everywhere comes with security threats that, unfortunately, cannot be handled by conventional cryptographic solutions alone, especially in heterogeneous and decentralized future wireless networks. In general, physical layer security (PLS) helps in bridging this gap by taking advantage of the fading propagation channel. Moreover, the adoption of reconfigurable intelligent surfaces (RIS) in wireless networks makes the PLS techniques more efficient by involving the channel into the design loop. In this paper, we conduct a comprehensive literature review on the RIS-assisted PLS for future wireless communications. We start by introducing the basic concepts of RISs and their different applications in wireless communication networks and the most common PLS performance metrics. Then, we focus on the review and classification of RIS-assisted PLS applications, exhibiting multiple scenarios, system models, objectives, and methodologies. In fact, most of the works in this field formulate an optimization problem to maximize the secrecy rate (SR) or secrecy capacity (SC) at a legitimate user by jointly optimizing the beamformer at the transmitter and the RIS's coefficients, while the differences are in the adopted methodology to optimally/sub-optimally approach the solution. We finalize this survey by presenting some insightful recommendations and suggesting open problems for future research extensions.

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“…The field of wireless physical layer security (PLS) has now become a rather mature field and numerous works have been devoted to characterize the key performance metrics under different propagation conditions: multiple-input multipleoutput (MIMO) systems [8][9][10], satellite communications systems [11], vehicular communications [12,13], correlated fading channels [14], relays systems [15,16], ultra dense networks [17], machine-to-machine communications in Internet of things (IoT) contexts [18] and propagation over distinct fading conditions [19][20][21]; just to mention some relevant examples. All these aforementioned works consider state-ofthe-art fading models like those in [2][3][4], which are based on the central limit theorem (CLT) assumption.…”

Section: Introductionmentioning

confidence: 99%

On the Beneficial Role of a Finite Number of Scatterers for Wireless Physical Layer Security

2020

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We show that for a legitimate communication under multipath quasi-static fading with a reduced number of scatterers, it is possible to achieve perfect secrecy even in the presence of a passive eavesdropper for which no channel state information (CSI) is available. Specifically, we show that the outage probability of secrecy capacity (OPSC) is zero for a given range of average signal-to-noise ratios (SNRs) at the legitimate and eavesdropper's receivers. As an application example, we analyze the OPSC for the case of two scatterers, explicitly deriving the relationship between the average SNRs, the secrecy rate R S and the fading model parameters required for achieving perfect secrecy. The impact of increasing the number of scatterers is also analyzed, showing that it is always possible to achieve perfect secrecy in this scenario, provided that (i) the dominant specular component for the legitimate channel is sufficiently large compared to the remaining scattered waves, and (ii) a exclusion area on which no eavesdroppers can be placed is considered. INDEX TERMS Fading channels, outage probability, physical layer security, secrecy capacity.

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Physical Layer Security in Vehicular Networks with Reconfigurable Intelligent Surfaces

Cited by 115 publications

References 23 publications

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Smart and Secure Wireless Communications via Reflecting Intelligent Surfaces: A Short Survey

On the Beneficial Role of a Finite Number of Scatterers for Wireless Physical Layer Security

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