Friendly-jamming schemes to secure ultra-reliable and low-latency communications in 5G and beyond communications

Li, Xuran; Dai, Hong-Ning; Shukla, Mahendra K.; Li, Dengwang; Xu, Huaqiang; Imran, Muhammad

doi:10.1016/j.csi.2021.103540

Cited by 13 publications

(3 citation statements)

References 107 publications

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“…According to Skokowski et al (2022), this can be mitigated by coordinating the frequencies, but that may not be a viable option for truly private networks. On the other hand, this effect can be used as an extra layer of security by denying bad actors the access to the network, as argued by Li et al (2021). Enabling security and privacy using a private network is considered one of the key reasons for its adoption, as it se cures data transfer, confidential data collection, device management, operational management, monitoring, access management, and prioritization.…”

Section: State Of the Artmentioning

confidence: 99%

Coherent enterprise information modeling for 5G private network feasibility

Jairus,

Pilvik,

Korbe Kaare

et al. 2024

PEAS

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In the era of Industry 4.0, the digital transformation of industrial systems necessitates advanced wireless communication solutions that are both agile and secure. Private 5G networks, characterized by their unparalleled bandwidth, reduced latency, and fortified security, have emerged as a beacon of innovation in this paradigm shift. This study explores the feasibility of deploying private 5G networks across diverse enterprises, underpinned by a robust methodological framework. Drawing from contemporary research, it is evident that while 5G promises transformative benefits for sectors like logistics, manufacturing, and autonomous vehicles, its adoption is riddled with challenges such as network oversaturation and frequency coordination. Analyzing 2006 companies, our findings reveal that only 103 enterprises align with the optimal criteria for private 5G network implementation, highlighting the intricate balance of spatial, economic, and regulatory considerations. This research not only offers a strategic roadmap for businesses and stakeholders but also positions private 5G networks as a pivotal tool for achieving operational excellence, enhanced data privacy, and seamless connectivity in the modern industrial landscape.

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Section: State Of the Artmentioning

confidence: 99%

Coherent enterprise information modeling for 5G private network feasibility

Jairus,

Pilvik,

Korbe Kaare

et al. 2024

PEAS

View full text Add to dashboard Cite

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“…It satisfies the ultra-low latency requirement of the given network while maintaining its security and privacy [69]. Authors in [125] applied the friendly jamming technique, which is one of the promising PLS techniques, to prevent the data from getting decoded by Eves. RIS turns out to be a powerful hardware technology for the upcoming 6G networks due to the presence of many low-cost and passive reflecting elements.…”

Section: Uav Communication Systemmentioning

confidence: 99%

A Survey on Reconfigurable Intelligent Surface for Physical Layer Security of Next-Generation Wireless Communications

Kaur,

Bansal,

Majhi

et al. 2024

IEEE Open J. Veh. Technol.

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“…As a result, physical layer security has been proposed as an alternative to traditional cryptographic techniques to protect wireless communication systems regardless of eavesdropping capabilities [12]. This concept involves leveraging the probabilistic characteristics of radio channels (that is, noise, fading, and interference) to reduce the likelihood that information will be decoded by eavesdroppers [13], [14]. Thus, cooperative jammer has been regarded as one of the efficient physical layer security methods in which either an external helper or a communication device emits artificial or interfering noise to reduce the channel quality of the eavesdropper [15].…”

Section: Introductionmentioning

confidence: 99%

Physical layer security of reconfigurable intelligent surface empowered wireless network with cooperative jammer

2022

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This paper evaluates the physical layer security performance of a reconfigurable intelligent surface (RIS) enabled wireless network in the presence of a passive eavesdropper. To secure the information transmission, a cooperative jammer is proposed to generate interference signal that degrade the performance of the eavesdropper. The source-to-RIS and RIS-to-destination links are subjected to Rician and Rayliegh fading distributions with phase errors, respectively, while other transmission links in the network follow the Nakagami-m fading distributions. The system phase error of the RIS is estimated by the von Mises distribution. To quantify the secrecy performance of the concerned system, the exact closed-form expressions in terms of connection outage probability (COP), security outage probability (SOP), and secrecy throughput (ST) are derived. In addition, the asymptotic expression of the system COP is obtained at high signal-to-noise ratio (SNR), providing more insight about the system performance. The accuracy of the derived expression is justified by Monte Carlo simulation. Also, the results clarify the analysis of the security performance, taking into account the impact of system and channel parameters on the system.

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Friendly-jamming schemes to secure ultra-reliable and low-latency communications in 5G and beyond communications

Cited by 13 publications

References 107 publications

Coherent enterprise information modeling for 5G private network feasibility

Coherent enterprise information modeling for 5G private network feasibility

A Survey on Reconfigurable Intelligent Surface for Physical Layer Security of Next-Generation Wireless Communications

Physical layer security of reconfigurable intelligent surface empowered wireless network with cooperative jammer

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