IRS-Based Wireless Jamming Attacks: When Jammers Can Attack Without Power

Lyu, Bin; Hoang, Dinh Thai; Gong, Shimin; Niyato, Dusit; Kim, Dong In

doi:10.1109/lwc.2020.3000892

Cited by 84 publications

(29 citation statements)

References 18 publications

(39 reference statements)

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“…In [208], the authors consider a jammer that attacks a legitimate communication without using any internal energy to generate jamming signals. The jammer uses an RIS that controls the reflected signals in order to decrease the SINR at the legitimate receiver.…”

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.

1,853

897

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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.

1,853

897

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“…As compared to the ideal case of full CSI, security could still be guaranteed by relaxing the QoS threshold at Bob as well as increasing the number of RIS reflecting elements. Unlike the current research trend on utilizing RIS to enhance the system secrecy, lyu et al [48] propose the use of an RIS as a passive jammer to attack legitimate communication between BS and Bob. BCD, SDR, and Gaussian randomization techniques are utilized to jointly optimize reflection coefficient magnitudes and discrete phase shifts at the RIS to diminish the signal-to-interferenceplus-noise ratio (SINR) at Bob.…”

Section: ) Single Bob and Evementioning

confidence: 99%

“…3-(b). Jamming is a common technique to deny the eavesdropper from receiving any useful signal, which can be done even actively as in [47], [49], [50] or passively with the aid of an illegitimate RIS as in [48]. Wang et al [49], considered the energy efficiency by optimizing the beamforming at the transmitter, as in [36], [38], [47], aided by a cooperative jamming with the support of an optimized RIS phase shifts.…”

Section: ) Multiple Bobs or Evesmentioning

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.

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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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“…Physical layer security (PLS) is a newly emerging secrecy communication technique [14]. In comparison with several existing PLS schemes, e.g., jammer-aided secure communication or the relay-aided secure communication, the IRS-aided secure transmission does not employ an additional transmitter to generate certain signal or interference, thus, no extra power consumption is need [15]. Besides, since operate in the full duplex (FD) mode, the IRS-aided scheme achieves higher spectrum efficiency than the half duplex (HD) relay scheme [16].…”

Section: A Motivationmentioning

confidence: 99%

“…In fact, (15) is the most difficult one among these subproblems. In the following, we will solve (15) using the penalty method [25].…”

Section: B Optimization Of the Reflect Coefficient (Rc)mentioning

confidence: 99%

Intelligent Reflect Surface Aided Secure Transmission in MIMO Channel With SWIPT

Niu

2020

IEEE Access

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This paper considers a multiple-input multiple-output (MIMO) secure simultaneous wireless information and power transfer (SWIPT) system aided by the intelligent reflecting surface (IRS), where the transmitter (T), the information receiver (IR) and energy receiver (ER) are all equipped with multiple antennas. Assuming that the ER may be potential eavesdropper (Eve), we aim to maximize the secrecy rate via jointly designing the precoding matrix, the artificial noise (AN) covariance, and the phase shift matrix, subject to the harvested energy and unit modulus reflect coefficient (RC) constraints. The formulated secrecy rate maximization (SRM) problem is non-convex with multiple coupled variables. To tackle it, an inexact block coordinate descent (IBCD) method is proposed, where the unit modulus constraint is handled by the penalty majorization-minimization (MM) and the complex circle manifold (CCM) methods. Finally, simulation results validate the effectiveness of IRS in enhancing the security.

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IRS-Based Wireless Jamming Attacks: When Jammers Can Attack Without Power

Cited by 84 publications

References 18 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

Intelligent Reflect Surface Aided Secure Transmission in MIMO Channel With SWIPT

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