Privacy-Aware Access Protocols for MEC Applications in 5G

Multi-access edge computing (MEC) is one of the emerging key technologies in fifth generation (5G) mobile networks, providing reduced end-to-end latency for applications and reduced load in the transport network. This paper proposes mechanisms to enhance user privacy in MEC within 5G. We consider a...

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Main Authors: Gizem Akman, Philip Ginzboorg, Valtteri Niemi
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Network
Subjects:
Online Access:https://www.mdpi.com/2673-8732/2/2/14
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author Gizem Akman
Philip Ginzboorg
Valtteri Niemi
author_facet Gizem Akman
Philip Ginzboorg
Valtteri Niemi
author_sort Gizem Akman
collection DOAJ
description Multi-access edge computing (MEC) is one of the emerging key technologies in fifth generation (5G) mobile networks, providing reduced end-to-end latency for applications and reduced load in the transport network. This paper proposes mechanisms to enhance user privacy in MEC within 5G. We consider a basic MEC usage scenario, where the user accesses an application hosted in the MEC platform via the radio access network of the mobile network operator (MNO). First, we create a system model based on this scenario. Second, we define the adversary model and give the list of privacy requirements for this system model. We also analyze the impact on user privacy when some of the parties in our model share information that is not strictly needed for providing the service. Third, we introduce a privacy-aware access protocol for the system model and analyze this protocol against the privacy requirements.
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spelling doaj.art-76810b3d2ac440ec834216345dcc7a462023-11-23T18:18:20ZengMDPI AGNetwork2673-87322022-04-012220322410.3390/network2020014Privacy-Aware Access Protocols for MEC Applications in 5GGizem Akman0Philip Ginzboorg1Valtteri Niemi2Department of Computer Science, University of Helsinki, Pietari Kalmin Katu 5, 00560 Helsinki, FinlandHuawei Technologies Oy, Itämerenkatu 9, 00180 Helsinki, FinlandDepartment of Computer Science, University of Helsinki, Pietari Kalmin Katu 5, 00560 Helsinki, FinlandMulti-access edge computing (MEC) is one of the emerging key technologies in fifth generation (5G) mobile networks, providing reduced end-to-end latency for applications and reduced load in the transport network. This paper proposes mechanisms to enhance user privacy in MEC within 5G. We consider a basic MEC usage scenario, where the user accesses an application hosted in the MEC platform via the radio access network of the mobile network operator (MNO). First, we create a system model based on this scenario. Second, we define the adversary model and give the list of privacy requirements for this system model. We also analyze the impact on user privacy when some of the parties in our model share information that is not strictly needed for providing the service. Third, we introduce a privacy-aware access protocol for the system model and analyze this protocol against the privacy requirements.https://www.mdpi.com/2673-8732/2/2/14MEC5GIoTidentity privacydata unlinkabilitydata confidentiality
spellingShingle Gizem Akman
Philip Ginzboorg
Valtteri Niemi
Privacy-Aware Access Protocols for MEC Applications in 5G
Network
MEC
5G
IoT
identity privacy
data unlinkability
data confidentiality
title Privacy-Aware Access Protocols for MEC Applications in 5G
title_full Privacy-Aware Access Protocols for MEC Applications in 5G
title_fullStr Privacy-Aware Access Protocols for MEC Applications in 5G
title_full_unstemmed Privacy-Aware Access Protocols for MEC Applications in 5G
title_short Privacy-Aware Access Protocols for MEC Applications in 5G
title_sort privacy aware access protocols for mec applications in 5g
topic MEC
5G
IoT
identity privacy
data unlinkability
data confidentiality
url https://www.mdpi.com/2673-8732/2/2/14
work_keys_str_mv AT gizemakman privacyawareaccessprotocolsformecapplicationsin5g
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