University of Oulu

Pasika Ranaweera, Anca Jurcut, and Madhusanka Liyanage. 2021. MEC-enabled 5G Use Cases: A Survey on Security Vulnerabilities and Countermeasures. ACM Comput. Surv. 54, 9, Article 186 (October 2021), 37 pages. https://doi.org/10.1145/3474552

MEC-enabled 5G use cases : a survey on security vulnerabilities and countermeasures

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Author: Ranaweera, Pasika1; Jurcut, Anca1; Liyanage, Madhusanka1,2
Organizations: 1University College Dublin, Ireland
2University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 14.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202301112370
Language: English
Published: Association for Computing Machinery, 2022
Publish Date: 2023-01-11
Description:

Abstract

The future of mobile and internet technologies are manifesting advancements beyond the existing scope of science. The concepts of automated driving, augmented-reality, and machine-type-communication are quite sophisticated and require an elevation of the current mobile infrastructure for launching. The fifth-generation (5G) mobile technology serves as the solution, though it lacks a proximate networking infrastructure to satisfy the service guarantees. Multi-access Edge Computing (MEC) envisages such an edge computing platform. In this survey, we are revealing security vulnerabilities of key 5G-based use cases deployed in the MEC context. Probable security flows of each case are specified, while countermeasures are proposed for mitigating them.

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Series: ACM computing surveys
ISSN: 0360-0300
ISSN-E: 1557-7341
ISSN-L: 0360-0300
Volume: 54
Issue: 9
Pages: 1 - 37
DOI: 10.1145/3474552
OADOI: https://oadoi.org/10.1145/3474552
Type of Publication: A1 Journal article – refereed
Field of Science: 113 Computer and information sciences
Subjects:
5G
AR
ITS
MEC
UAV
V2E
VR
Funding: This work is partly supported by the Academy of Finland under the 6Genesis (Grant No. 318927) project.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2021 Association for Computing Machinery. This is the author's version of the work. The definitive Version of Record was published in ACM Computing Surveys, https://doi.org/10.1145/3474552.