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A Security Architecture for 5G Networks
Orange, France.
Thales, France.
RISE - Research Institutes of Sweden (2017-2019), ICT, SICS.ORCID iD: 0000-0002-0621-454X
University of Oxford, UK.
Show others and affiliations
2018 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 6, no 17, p. 22466-22479Article in journal (Refereed) Published
Abstract [en]

5G networks will provide opportunities for the creation of new services, for new business models, and for new players to enter the mobile market. The networks will support efficient and cost-effective launch of a multitude of services, tailored for different vertical markets having varying service and security requirements, and involving a large number of actors. Key technology concepts are network slicing and network softwarisation, including network function virtualisation and software-defined networking. The presented security architecture builds upon concepts from the 3G and 4G security architectures but extends and enhances them to cover the new 5G environment. It comprises a toolbox for security relevant modelling of the systems, a set of security design principles, and a set of security functions and mechanisms to implement the security controls needed to achieve stated security objectives. In a smart city use case setting, we illustrate its utility; we examine the high-level security aspects stemming from the deployment of large numbers of IoT devices and network softwarisation.

Place, publisher, year, edition, pages
2018. Vol. 6, no 17, p. 22466-22479
Keywords [en]
5G, 5G mobile communication, Architecture, Business, Computer architecture, Electronic mail, Network slicing, Security, Smart cities, Telecommunication Networks, 5G mobile communication systems, Commerce, Cost effectiveness, Industry, Mobile security, Mobile telecommunication systems, Network architecture, Queueing networks, Smart city, Mobile communications, New business models, Security Architecture, Security functions, Security objectives, Security requirements, Network security
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33758DOI: 10.1109/ACCESS.2018.2827419Scopus ID: 2-s2.0-85045763510OAI: oai:DiVA.org:ri-33758DiVA, id: diva2:1204201
Available from: 2018-05-07 Created: 2018-05-07 Last updated: 2024-03-03Bibliographically approved

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Blom, Rolf

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CiteExportLink to record
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Citation style
  • apa
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