Cited by 366Cybersecurity and Information SystemsSoftware-Defined Networks and 5GTelecommunications and Broadcasting Technologies

Security for 5G and beyond

Ahmad, Ijaz, Shahabuddin, Shahriar, Kumar, Tanesh, Okwuibe, Jude, Gurtov, Andrei, Ylianttila, Mika·2019·IEEE Communications Surveys & Tutorials

Abstract

The development of the fifth generation (5G) wireless networks is gaining momentum to connect almost all aspects of life through the network with much higher speed, very low latency and ubiquitous connectivity. Due to its crucial role in our lives, the network must secure its users, components, and services. The security threat landscape of 5G has grown enormously due to the unprecedented increase in types of services and in the number of devices. Therefore, security solutions if not developed yet must be envisioned already to cope with diverse threats on various services, novel technologies, and increased user information accessible by the network. This paper outlines the 5G network threat landscape, the security vulnerabilities in the new technological concepts that will be adopted by 5G, and provides either solutions to those threats or future directions to cope with those security challenges. We also provide a brief outline of the post-5G cellular technologies and their security vulnerabilities which is referred to as future generations (XG) in this paper. In brief, this paper highlights the present and future security challenges in wireless networks, mainly in 5G, and future directions to secure wireless networks beyond 5G.

Integrity signals

Registry

Crossref · 10.1109/comst.2019.2916180

Cites

354 of 354 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Privacy-preserving data provenance based on smart contracts is a promising technique to realize privacy protection in open data.

    “In the context of blockchains, privacy-preserving data provenance based on smart contracts is a promising technique to realize privacy protection in open data [10].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Ahmad, I., Shahabuddin, S., Kumar, T., Okwuibe, J., Gurtov, A., & Ylianttila, M.
Affiliations
  • VTT Technical Research Centre of Finland (FI)
  • Nokia (Finland) (FI)
  • University of Oulu (FI)
  • Linköping University (SE)
Venue
IEEE Communications Surveys & Tutorials
Published
2019
Volume
21
Issue
4
Pages
3682-3722
ISSN
  • 1553-877X (ISSN-L)
  • 2373-745X
OpenAlex
W2944046640
Cited by
366
References
354
Citations by year
2026: 25 · 2025: 54 · 2024: 46 · 2023: 59 · 2022: 71 · 2021: 56 · 2020: 44 · 2019: 11
FWCI
24.91
Type
journal article
Language
en
Open access
closed
Locations
IEEE Communications Surveys & Tutorials (publishedVersion)
Funders
  • Academy of Finland (318927)
  • Jorma Ollila Grant
  • Center for Industrial Information Technology
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Cybersecurity and Information Systems
  • Physical Sciences › Computer Science › Computer Networks and Communications › Software-Defined Networks and 5G
  • Physical Sciences › Engineering › Media Technology › Telecommunications and Broadcasting Technologies
Keywords
5G security, wireless network security, security threats, security vulnerabilities, network slicing, network function virtualization, Internet of Things security

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review