Cognitive Security of Wireless Communication Systems in the Physical Layer

Yılmaz, Mustafa Harun; Güvenkaya, Ertuğrul; Furqan, Haji M.; Köse, Selçuk; Arslan, Hüseyin

doi:10.1155/2017/3592792

Cited by 13 publications

(8 citation statements)

References 23 publications

(27 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, designing effective, adaptive, and intelligent [66], [67] RIS-assisted PLS techniques under joint consideration of security, reliability, latency, complexity, and throughput based on QoS requirements of future applications to support URLLC, Fig. 4: Challenges and Future Directions eMBB, and mMTC is also an interesting area of research.…”

Section: F Integration Of Riss With Emerging Technologies and Futurementioning

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.

Self Cite

View full text Add to dashboard Cite

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.

show abstract

Section: F Integration Of Riss With Emerging Technologies and Futurementioning

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.

Self Cite

View full text Add to dashboard Cite

show abstract

“…The authors also addressed several recent works, specifically on cognitive and FD networking, that focused on security, minimising delay, resource optimisation using the PA algorithm and asynchronous CR with the new MAC protocol. Physical layer security was addressed by [122] by proposing a cognitive security concept but with several challenges, such as condition detection, correct statement identification and security mechanism for many resources. Khan et al [123] discussed the requirements, design challenges and review of routing and MAC protocols for CR-based smart grid systems.…”

Section: Promises Of Cognitive Radiomentioning

confidence: 99%

“…For SS techniques, several gaps must be bridged to realise efficient SS in the 5G environment. A dense network leads to multi-user interference, security problems [122] and service deterioration because of the high competition for limited shared resources. Furthermore, the need for large bandwidth by heterogeneous devices leads to the lack of spectrum availability.…”

Section: A Spectrum Sharingmentioning

confidence: 99%

5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks

et al. 2020

View full text Add to dashboard Cite

The explosive popularity of small-cell and Internet of Everything devices has tremendously increased traffic loads. This increase has revolutionised the current network into 5G technology, which demands increased capacity, high data rate and ultra-low latency. Two of the research focus areas for meeting these demands are exploring the spectrum resource and maximising the utilisation of its bands. However, the scarcity of the spectrum resource creates a serious challenge in achieving an efficient management scheme. This work aims to conduct an in-depth survey on recent spectrum sharing (SS) technologies towards 5G development and recent 5G-enabling technologies. SS techniques are classified, and SS surveys and related studies on SS techniques relevant to 5G networks are reviewed. The surveys and studies are categorised into one of the main SS techniques on the basis of network architecture, spectrum allocation behaviour and spectrum access method. Moreover, a detailed survey on cognitive radio (CR) technology in SS related to 5G implementation is performed. For a complete survey, discussions are conducted on the issues and challenges in the current implementation of SS and CR, and the means to support efficient 5G advancement are provided.

show abstract

“…[1] are promising research directions. [47] Moreover, designing effective, adaptive, and intelligent [48] [49] RIS-assisted PLS techniques under joint consideration of security, reliability, latency, complexity, and throughput based on quality of service (QoS) requirements of future applications to support URLLC, eMBB, and mMTC is also an interesting area of research. Furthermore, RIS-assisted cross-layer security design including the interaction of different layers, such as the physical layer, media access control (MAC) layer, network layer, and application layer, is not yet studied in the literature from the physical layer perspective.…”

Section: F Integration Of Riss With Emerging Technologies and Future ...mentioning

confidence: 99%

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

Almohamad¹,

Tahir²,

Al‐Kababji³

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

I. INTRODUCTIOND UE to the considerable increase in the number of wirelessly communicating devices, different innovative technologies have been proposed in the literature to enhance the energy and spectrum efficiency along with the reliability and security of wireless communication systems. The future applications from the perspective of 5G (fifth generation) wireless communication include three use cases with diverse requirements such as ultra-reliable low latency communication (URLLC), enhanced mobile broadband (eMBB), and massive machine-type communication (mMTC). The promising physical layer technologies to fulfill the requirements of the above-mentioned applications include cognitive radio, cooperative communication, massive multiple-input multiple-output, millimeter-wave, orthogonal frequency division multiplexing (OFDM) numerologies, and so on [1].Although, rigorous efforts have been done in research and development of wireless communications to fulfill the requirements of diverse users and applications of future wireless communication generations, where we require extremely high energy and spectral efficiencies, ultra-security, ultra-reliability, and highly flexible design [2], overall progress has been relatively slow. This is due to the fact that the conventional wireless communication designers have been focusing only on transmitter and receiver ends while considering the wireless communication environment an uncontrollable factor that has usually a negative effect on communication efficiency and reliability, and needs to be compensated for.Recently, reconfigurable intelligent surfaces (RIS) got much attention due to their capability to enable a smart and controllable wireless propagation environments [3]. Specifically, an RIS is a uniform planar array that consists of low-cost passive reflecting elements. Each element in an RIS can be controlled to smartly adjust the amplitude and/or phase of the incoming This publication was made possible by the grants NPRP12S-0225-190152 and GSRA6-2-0521-19034 from the Qatar National Research Fund (a member of The Qatar Foundation). The statements made herein are solely the responsibility of the author[s].

show abstract

Cognitive Security of Wireless Communication Systems in the Physical Layer

Cited by 13 publications

References 23 publications

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

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

5G Technology: Towards Dynamic Spectrum Sharing Using Cognitive Radio Networks

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

Contact Info

Product

Resources

About