Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Intelligent authentication of 5G healthcare devices: A survey
Department of Computer Science, Kristianstad University, SE-291 Kristianstad, Sweden; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 518000 Shenzhen, China.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems. College of Information Technology, United Arab Emirates University, Al Ain, P.O. Box 17551, United Arab Emirates; Faculty of Engineering, Al-Azhar University, Qena P.O. Box 83513, Egypt; Centre for Security, Communications and Network Research, University of Plymouth, Plymouth PL4 8AA, UK.ORCID iD: 0000-0002-3800-0757
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0001-8647-436X
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0126-1897
2022 (English)In: Internet of Things: Engineering Cyber Physical Human Systems, E-ISSN 2542-6605, Vol. 20, article id 100610Article, review/survey (Refereed) Published
Abstract [en]

The dynamic nature of wireless links and the mobility of devices connected to the Internet of Things (IoT) over fifth-generation (5G) networks (IoT-5G), on the one hand, empowers pervasive healthcare applications. On the other hand, it allows eavesdroppers and other illegitimate actors to access secret information. Due to the poor time efficiency and high computational complexity of conventional cryptographic methods and the heterogeneous technologies used, it is easy to compromise the authentication of lightweight wearable and healthcare devices. Therefore, intelligent authentication, which relies on artificial intelligence (AI), and sufficient network resources are extremely important for securing healthcare devices connected to IoT-5G. This survey considers intelligent authentication and includes a comprehensive overview of intelligent authentication mechanisms for securing IoT-5G devices deployed in the healthcare domain. First, it presents a detailed, thoughtful, and state-of-the-art review of IoT-5G, healthcare technologies, tools, applications, research trends, challenges, opportunities, and solutions. We selected 20 technical articles from those surveyed based on their strong overlaps with IoT, 5G, healthcare, device authentication, and AI. Second, IoT-5G device authentication, radio-frequency fingerprinting, and mutual authentication are reviewed, characterized, clustered, and classified. Third, the review envisions that AI can be used to integrate the attributes of the physical layer and 5G networks to empower intelligent healthcare devices. Moreover, methods for developing intelligent authentication models using AI are presented. Finally, the future outlook and recommendations are introduced for IoT-5G healthcare applications, and recommendations for further research are presented as well. The remarkable contributions and relevance of this survey may assist the research community in understanding the research gaps and the research opportunities relating to the intelligent authentication of IoT-5G healthcare devices.

Place, publisher, year, edition, pages
Elsevier, 2022. Vol. 20, article id 100610
Keywords [en]
Internet of Things (IoT), Internet of Things security, Device authentication, Artificial intelligence, Healthcare security, 5G networks
National Category
Information Systems Computer Sciences
Research subject
Information systems; Signal Processing; Robotics and Artificial Intelligence
Identifiers
URN: urn:nbn:se:ltu:diva-92871DOI: 10.1016/j.iot.2022.100610ISI: 000862155700002Scopus ID: 2-s2.0-85138101077OAI: oai:DiVA.org:ltu-92871DiVA, id: diva2:1694189
Funder
The Kempe Foundations
Note

Validerad;2022;Nivå 2;2022-09-27 (hanlid)

Available from: 2022-09-08 Created: 2022-09-08 Last updated: 2023-09-04Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records

Awad, Ali Ismailvan de Beek, JaapNikolakopoulos, George

Search in DiVA

By author/editor
Awad, Ali Ismailvan de Beek, JaapNikolakopoulos, George
By organisation
Digital Services and SystemsSignals and Systems
In the same journal
Internet of Things: Engineering Cyber Physical Human Systems
Information SystemsComputer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 160 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf