Survey on physical layer security for 5G wireless networks

Sanchez, Jose David Vega; Urquiza-Aguiar, Luis; Paredes, Martha Cecilia Paredes; Osorio, Diana Pamela Moya

doi:10.1007/s12243-020-00799-8

Cited by 51 publications

(36 citation statements)

References 155 publications

(134 reference statements)

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“…Finally, we provide a quick explanation of the functions implemented in Algorithm 1. The PSO function returns the following results: (1) fobest: minimum value of the objective function, i.e., , in (12); (2) xgbest: optimal values of the fading parameters (e.g, µ, κ, m k , γ for the κ-µ shadowed model) of the the theoretical CDF that minimize (12). It is worth pointing out that the number of optimal values returned by the PSO algorithm depends on the fading channel model.…”

Section: Optimization Proceduresmentioning

confidence: 99%

“…The increasing demands for new wireless applications/services and the rapid growth of connected intelligent "things" (also known as the internet of things (IoT) [1]) will saturate the capacity of current mobile communication systems in the coming years. Building on this background, network designers and researchers search for novel emerging technologies to ensure ultra-high data rates, energy efficiency, ultra-wide radio coverage, and connectivity, as well as ultra-low latencies and high reliability [2]. In this context, the fifth generation of wireless networks (5G) emerges as a solution to satisfy these strict requirements through intelligent and environmentally friendly technologies [3].…”

Section: Introductionmentioning

confidence: 99%

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Fading Channel Models for mm-Wave Communications

Urquiza-Aguiar

Paredes

2021

Electronics

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A realistic performance assessment of any wireless communication system requires the use of a fading channel model that reflects its main characteristics. The traditional Rayleigh and Nakagami-m models have been (and still are) the basis of most theoretical research on wireless technologies today, even for emerging technologies, such as millimeter-wave communications (mm-Wave). In this article, we show that the fluctuating multiple-ray (FMR) and κ-μ shadowed models had a better fit (i.e., lowest mean square error statistical test) to field measurements in outdoor environments at 28 GHz than the conventional channel models. Therefore, these generalized models are feasible alternatives that can be used as a benchmark when evaluating communication performance in mm-Wave scenarios.

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Section: Optimization Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Fading Channel Models for mm-Wave Communications

Urquiza-Aguiar

Paredes

2021

Electronics

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“…Analysis is complicated by the non-Gaussian nature of No methods currently exist for estimating upper bounds of the information-theoretic secret-key rate in (1). A dual analysis involves evaluation of the practical OFDM data rate.…”

Section: B Secret Key Transmission Ratesmentioning

confidence: 99%

“…Motivated by the need to achieve privacy at low latency, we propose using a technology known as Physical Layer Security (PLS). Physical Layer Security protects communication against eavesdroppers by tapping into the inherent randomness in the wireless medium between two communicating parties [1]. Furthermore, privacy algorithms integrate with the modulation at Layer 1 of the Open Systems Interconnect (OSI) stack such that the waveform leaving the antenna is private.…”

Section: Introductionmentioning

confidence: 99%

Physical Layer Security for Beyond 5G: Ultra Secure Low Latency Communications

Yerrapragada

Eisman

Kelley

2021

IEEE Open J. Commun. Soc.

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If Beyond-5G(B5G)/6G is to support critical infrastructure worldwide, there must be an effort to jointly integrate low latency and privacy into wireless protocols. This research analyzes new schemes for securing applications at low latency by extending Physical Layer Security (PLS) algorithms to B5G/6G systems. We design protocols that advance a specific form of Physical Layer Security, known as Key-based Physical Layer Security, from the theoretical realm into the practical. One form of a Key-based algorithm obscures information from eavesdroppers by mapping it to cleverly rotated reference signals. For such a scheme, prior work has found that the two-way exchange of completely private information involves six OFDM symbol times, not including synchronization. By developing a protocol that makes the most optimum use of time-frequency resources, we show that it is possible to achieve two-way private exchange and synchronization in only four symbol times -the least latency possible. A significant simulation result indicates that our improved protocol achieves sub-1 ms two-way latency, including re-transmissions. We also illustrate a protocol that shows how Key-based Physical Layer Security can privatize critical PHY layer functions such as cell search. Lastly, additional results show the performance of the PLS algorithm in terms of Key Bit Error Rates and secret key transmission rates.

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“…Similarly, researchers like Li et al [5] have shown in that spoofing attack is possible in 5G due to vulnerabilities in the Physical Layer. Sánchez et al [6] have highlighted the security issues related to the 5G wireless network. We can arrive at a hypothesis that there are still many vulnerabilities in the 5G network.…”

Section: *Author For Correspondencementioning

confidence: 99%

Analysis of performance vulnerability of MAC scheduling algorithms due to SYN flood attack in 5G NR mmWave

Saikia¹,

Majumder²

2021

IJATEE

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Fifth-generation (5G) new radio (NR) millimetre wave (mmWave) is a kind of 5G network that operates in the 24GHz to 100GHz frequency range. It offers several opportunities as well as numerous challenges. One of the most prominent challenges that a 5G network faces is intrusion. Intrusion is possible because of existing vulnerabilities in the 5G NR mmWave network architecture. We exploited one such vulnerabil ity to create synchronise (SYN) flood intrusion into the network. The SYN flood intrusion is a denial of service (DoS) intrusion. The intruder who is involved in the SYN flood intrusion depletes the network's available resources. As a result, it denies genuine UEs/nodes access to the network's services and resources. Since this attack produces many open connections with the server, it slows down media access control (MAC) schedulers' ability to assign available channels to the user equipment. In this article, we proposed a method to exploit existing vulnerabilities of the 5G NR mmWave network to carry out SYN flood attacks. Further, we investigated the effect of the attack on the performance of the MAC schedulers, such as proportionate fair and round robin MAC schedulers. With the addition of SYN flood attack UEs/nodes, we observed that the throughput for proportional fair and round robin MAC schedulers drops dramatically.In the event of an attack, throughput drops by 2.34 % to 37.7%. However, in the event of an SYN flood attack, network delay and jitter increase. The performance of the network suffers as a result of that.

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Survey on physical layer security for 5G wireless networks

Cited by 51 publications

References 155 publications

Fading Channel Models for mm-Wave Communications

Fading Channel Models for mm-Wave Communications

Physical Layer Security for Beyond 5G: Ultra Secure Low Latency Communications

Analysis of performance vulnerability of MAC scheduling algorithms due to SYN flood attack in 5G NR mmWave

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