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  5. Survey on Multi-Access Edge Computing Security and Privacy
 
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Survey on Multi-Access Edge Computing Security and Privacy

Author(s)
Ranaweera, Pasika  
Jurcut, Anca Delia  
Liyanage, Madhusanka  
Uri
http://hdl.handle.net/10197/12082
Date Issued
2021-02-26
Date Available
2021-04-12T16:18:52Z
Abstract
The European Telecommunications Standards Institute (ETSI) has introduced the paradigm of Multi-Access Edge Computing (MEC) to enable efficient and fast data processing in mobile networks. Among other technological requirements, security and privacy are significant factors in the realization of MEC deployments. In this paper, we analyse the security and privacy of the MEC system. We introduce a thorough investigation of the identification and the analysis of threat vectors in the ETSI standardized MEC architecture. Furthermore, we analyse the vulnerabilities leading to the identified threat vectors and propose potential security solutions to overcome these vulnerabilities. The privacy issues of MEC are also highlighted, and clear objectives for preserving privacy are defined. Finally, we present future directives to enhance the security and privacy of MEC services.
Sponsorship
Enterprise Ireland
European Commission Horizon 2020
Irish Research Council
Science Foundation Ireland
University College Dublin
Other Sponsorship
Business Finland
Type of Material
Journal Article
Publisher
IEEE
Journal
IEEE Communications Surveys & Tutorials
Volume
23
Issue
2
Start Page
1078
End Page
1124
Copyright (Published Version)
2021 IEEE
Subjects

Security

Privacy

Cloud computing

5G mobile communicati...

Servers

Real-time systems

Outsourcing

DOI
10.1109/comst.2021.3062546
Language
English
Status of Item
Peer reviewed
ISSN
1553-877X
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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MEC_Security_Survey_Final (1).pdf

Size

6.17 MB

Format

Adobe PDF

Checksum (MD5)

030e8cf2e301a097d77400552f6966b4

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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