Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges

Nguyen, Van-Linh; Lin, Po-Ching; Cheng, Bo-Chao; Hwang, Ren-Junn; Lin, Ying-Dar

doi:10.1109/comst.2021.3108618

Cited by 226 publications

(136 citation statements)

References 188 publications

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“…Then, there will be many protocols, algorithms, and different device brands that will increase the complexity of the network. The work in [6] shows as B5G/6G networks will be having this increased network heterogeneity, there will be more concerns on privacy than the previous generations. For example, they show the involvement of connected devices in every aspect of humans, such as medical implants, which could pose serious concerns of potential leaks of personal information such as health records.…”

Section: A Why Privacy Is Critical In B5g/6gmentioning

confidence: 99%

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A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions

Sandeepa¹,

Siniarski²,

Kourtellis³

et al. 2022

Preprint

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Massive progress of mobile wireless telecommunication networks was achieved in the previous decades, with privacy enhancement in each. At present, mobile users are getting familiar with the latest 5G networks, and the discussion for the next generation of Beyond 5G (B5G)/6G networks has already been initiated. It is expected that B5G/6G will push the existing network capabilities to the next level, with higher speeds, enhanced reliability, and seamless connectivity. To make these expectations a reality, research is progressing on new technologies, architectures, and intelligence-based decision-making processes related to B5G/6G. Privacy considerations are a crucial aspect that needs further attention in such developments, as billions of people and devices will be transmitting their data through the upcoming network. This paper provides a comprehensive survey on privacy-related aspects for B5G/6G networks. First, it discusses a taxonomy of different privacy perspectives. Based on the taxonomy, the paper then conceptualizes a set of privacy goals for the B5G/6G and the challenges that appear as barriers to reaching these goals. Next, this work provides a set of solutions applicable to the proposed architecture of B5G/6G networks to mitigate the challenges. Additionally, this paper discusses the emerging field of non-personal data privacy. It also provides an overview of standardization initiatives for privacy preservation. Finally, it concludes with a roadmap of future directions and upcoming trends containing privacy-related topics, which will be an arena for new research towards privacy-enhanced B5G/6G networks. This work provides a basis for privacy aspects that will significantly impact peoples' daily lives with future networks.

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Section: A Why Privacy Is Critical In B5g/6gmentioning

confidence: 99%

“…The advent of the study of the next generation of mobile networks has already begun in the research community as we see a lot of related work in the B5G/6G. All of the surveys in [6]- [15] have a clear focus on B5G/6G networks. The work in [6] gives an overview of both privacy and security issues related to 6G networks.…”

Section: B Motivationmentioning

confidence: 99%

A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions

Sandeepa¹,

Siniarski²,

Kourtellis³

et al. 2022

Preprint

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“…The number of cores present in the multi-core fiber (MCF) is larger than in the single-core fiber (SCF), but the presence of additional modes also increases the cost of MCF [344]. Currently, 5G and Beyond-5G (B5G) wireless network architectures have been revolutionized due to IoT applications, and the number of user devices and amount of data created by these devices is increasing exponentially [345,346]. This wireless interconnection model of numerous devices is observed and controlled using the internet.…”

mentioning

confidence: 99%

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

et al. 2021

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Fifth-generation (5G) technology will play a vital role in future wireless networks. The breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where billions of connected devices, people, and processes will be simultaneously served. The services provided by 5G include several use cases enabled by the enhanced mobile broadband, massive machine-type communications, and ultra-reliable low-latency communication. Fifth-generation networks potentially merge multiple networks on a single platform, providing a landscape for seamless connectivity, particularly for high-mobility devices. With their enhanced speed, 5G networks are prone to various research challenges. In this context, we provide a comprehensive survey on 5G technologies that emphasize machine learning-based solutions to cope with existing and future challenges. First, we discuss 5G network architecture and outline the key performance indicators compared to the previous and upcoming network generations. Second, we discuss next-generation wireless networks and their characteristics, applications, and use cases for fast connectivity to billions of devices. Then, we confer physical layer services, functions, and issues that decrease the signal quality. We also present studies on 5G network technologies, 5G propelling trends, and architectures that help to achieve the goals of 5G. Moreover, we discuss signaling techniques for 5G massive multiple-input and multiple-output and beam-forming techniques to enhance data rates with efficient spectrum sharing. Further, we review security and privacy concerns in 5G and standard bodies’ actionable recommendations for policy makers. Finally, we also discuss emerging challenges and future directions.

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“…One of the current concerns in designing crypto-based systems is the impact that the advance of quantum computing may have in them, so this is an issue that must be taken in consideration when proposing a new system [36]. As far as our e-voting system is concerned, the Shamir secret sharing scheme should not be impacted by the advances on quantum computing.…”

mentioning

confidence: 99%

“…For asymmetric encryption to be usable in practice, a PKI infrastructure must be in place for citizens and political parties. In a similar way, actual device protection is out of the scope of our work, but there are plenty of security mechanisms that could be used to protect the computation if needed, such as security enclaves like the ones used in [36]).…”

mentioning

confidence: 99%

Distributed Remote E-Voting System Based on Shamir’s Secret Sharing Scheme

et al. 2021

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A number of e-voting systems have been proposed in the last decades, attracting the interest of the research community. The challenge is far from being fully addressed, especially for remote systems. In this work, we propose DiverSEC, a distributed, remote e-voting system based on Shamir secret sharing, operations in Galois field and mixnets, which enables end-to-end vote verification. Parties participate as nodes in the network, protecting their interests and ensuring process integrity due to the conflicting interests. The threat model is very conservative, not letting even the most privileged actors to compromise votes privacy or integrity. Security in depth is implemented, overlapping different mechanisms to offer guarantees even in the most adverse operating conditions. The main contributions of the resulting system are our proposal for secret-sharing among the political parties, which guarantees that no party can compromise the integrity of the ballot without being detected and identified in real time, and the computational and architectural scalability of the proposal, which make it easy to implement.

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Security and Privacy for 6G: A Survey on Prospective Technologies and Challenges

Cited by 226 publications

References 188 publications

A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions

A Survey on Privacy for B5G/6G: New Privacy Challenges, and Research Directions

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

Distributed Remote E-Voting System Based on Shamir’s Secret Sharing Scheme

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