Light-Weight Physical Layer Enhanced Security Schemes for 5G Wireless Networks

Tang, Jie; Wen, Hong; Zeng, Kai; Liao, Runfa; Pan, Fei; Hu, Lin

doi:10.1109/mnet.001.1700412

Cited by 46 publications

(18 citation statements)

References 15 publications

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“…By using mmWave in private or public office buildings, it is possible to prevent leakage of information outside the building. [144]. Alquhayz et al implemented a policy-based security management system to ensure that end-user devices cannot be used as weapons or tools of attack.…”

Section: B Security Solutions Challenges and Gapsmentioning

confidence: 99%

5G Security Challenges and Solutions: A Review by OSI Layers

et al. 2021

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The Fifth Generation of Communication Networks (5G) envisions a broader range of services compared to previous generations, supporting an increased number of use cases and applications. The broader application domain leads to increase in consumer use and, in turn, increased hacker activity. Due to this chain of events, strong and efficient security measures are required to create a secure and trusted environment for users. In this paper, we provide an objective overview of 5G security issues and the existing and newly proposed technologies designed to secure the 5G environment. We categorize security technologies using Open Systems Interconnection (OSI) layers and, for each layer, we discuss vulnerabilities, threats, security solutions, challenges, gaps and open research issues. While we discuss all seven OSI layers, the most interesting findings are in layer one, the physical layer. In fact, compared to other layers, the physical layer between the base stations and users' device presents increased opportunities for attacks such as eavesdropping and data fabrication. However, no single OSI layer can stand on its own to provide proper security. All layers in the 5G must work together, providing their own unique technology in an effort to ensure security and integrity for 5G data.

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Section: B Security Solutions Challenges and Gapsmentioning

confidence: 99%

5G Security Challenges and Solutions: A Review by OSI Layers

et al. 2021

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“…For our simulations, we assumed the ideal Rayleigh fading channel model as described in Section II. [1,21,24,25] for R = 6, and [1,35,41,119…”

Section: Performance Comparisonsmentioning

confidence: 99%

“…The information-theoretic foundation of secret-key agreement in public channels was first established by Maurer and Wolf [20][21][22]. Most of secret-key agreement or generation methods require the assumptions of time division duplex (TDD) channel reciprocity and near-perfect CSI [23][24][25]. The strong assumptions on CSI have hindered the industrial applications of PLS [26].…”

Section: Introductionmentioning

confidence: 99%

Artificially Time-Varying Differential MIMO for Achieving Practical Physical Layer Security

Ishikawa

Hamamreh

Okamoto

et al. 2021

IEEE Open J. Commun. Soc.

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In this paper, we propose a differential multiple-input multiple-output (MIMO) scheme based on the novel concept of chaos-based time-varying unitary matrices to demonstrate-for the first time in the literature-the ability of differential encoding in achieving practical physical layer security even without the need for using channel estimation. In the proposed scheme, an erroneous secret key, which is extracted from the wireless nature, is used to initialize a chaos sequence that is responsible for generating artificially time-varying unitary matrices capable of obfuscating the transmitted data symbols from illegitimate eavesdroppers. Contrary to conventional studies, the key agreement ratio in this study is assumed to be imperfect, which is often true and very realistic in high-mobility scenarios. Following this, we conceive a new calibration algorithm for reconciling the chaotic sequence generated at the legitimate parties, thus making this calibration algorithm a unique, novel solution to the key sharing problem of conventional chaos-based communication techniques, which has been overlooked over the past few decades. It is found out that differential encoding obviates additional complexity and insecurity in dealing with channel estimation, whereas an eavesdropper must tackle the complicated differentially encoded patterns, which have an exponentially increasing complexity order. In addition, the obtained simulation results demonstrate that the proposed scheme can outperform conventional chaos-based MIMO schemes that assume perfect channel knowledge.

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“…16 Exploiting the dynamics in the physical layer, physical layer security has recently shown to support secure transmissions and emerged as an appealing method to provide perfect secrecy. [17][18][19][20] In the context of cooperative NOMA, physical layer security has attracted increasing research interests. [21][22][23][24][25][26] In the work of Vo et al, 21 the authors considered imperfect channel state information (CSI) and analyzed the secrecy and throughput of a cooperative NOMA energy harvesting IoT system in the presence of untrust relays.…”

Section: Introductionmentioning

confidence: 99%

Enhancing physical layer security via a UAV friendly jammer for NOMA‐based IoT systems with imperfect CSI

Chen

Zhang

2021

Trans Emerging Tel Tech

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In this article, we investigate physical layer security in downlink Internet of Things networks under imperfect channel state information (CSI), in which a controller (Alice) intends to serve two user devices (D 1 and D 2) simultaneously by using nonorthogonal multiple access (NOMA). Cooperative jamming (CJ) is introduced as a powerful solution for guaranteeing secure transmission. To be specific, we integrate an unmanned aerial vehicle (UAV) jammer that generates artificial noise to confuse multiple noncolluding eavesdroppers (Eves). Considering only D 1 requires secure transmission, we develop an adaptive power allocation scheme to maximize the secrecy rate at D 1 while meeting the desired quality of service (QoS) threshold at D 2. Furthermore, a strategy can be utilized to obtain the optimal location of the UAV jammer is derived for further performance enhancement. Besides, we also examine the impact of the channel uncertainties on system performance. Numerical results are provided to confirm the superiority and applicability of the proposed CJ scheme over benchmark schemes in terms of secrecy performance and effective energy efficiency.

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Light-Weight Physical Layer Enhanced Security Schemes for 5G Wireless Networks

Cited by 46 publications

References 15 publications

5G Security Challenges and Solutions: A Review by OSI Layers

5G Security Challenges and Solutions: A Review by OSI Layers

Artificially Time-Varying Differential MIMO for Achieving Practical Physical Layer Security

Enhancing physical layer security via a UAV friendly jammer for NOMA‐based IoT systems with imperfect CSI

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