Options
Highly efficient key agreement for remote patient monitoring in MEC-enabled 5G networks
Author(s)
Date Issued
2021-06-09
Date Available
2024-05-13T16:11:00Z
Abstract
Remote patient monitoring is one of the cornerstones to enable Ambient Assisted Living. Here, a set of devices provide their corresponding input, which should be carefully aggregated and analysed to derive health-related conclusions. In the new Fifth-Generation (5G) networks, Internet of Things (IoT) devices communicate directly to the mobile network without any need of proxy devices. Moreover, 5G networks consist of Multi-access Edge Computing (MEC) nodes, which are taking the role of a mini-cloud, able to provide sufficient computation and storage capacity at the edge of the network. MEC IoT integration in 5G offers a lot of benefits such as high availability, high scalability, low backhaul bandwidth costs, low latency, local awareness and additional security and privacy. In this paper, we first detail the procedure on how to establish such remote monitoring in 5G networks. Next, we focus on the key agreement between IoT, MEC and registration center in order to guarantee mutual authentication, anonymity, and unlinkability properties. Taking into account the high heterogeneity of IoT devices that can contribute to an accurate image of the health status of a patient, it is of utmost importance to design a very lightweight scheme that allows even the smallest devices to participate. The proposed protocol is symmetric key based and thus highly efficient. Moreover, it is shown that the required security features are established and protection against the most of the well-known attacks is guaranteed.
Sponsorship
European Commission Horizon 2020
Other Sponsorship
Academy of Finland in 6Genesis Flagship and 5GEAR
European Union in RESPONSE 5G
Type of Material
Journal Article
Publisher
Springer
Journal
Journal of Supercomputing
Volume
77
Issue
6
Start Page
5562
End Page
5585
Copyright (Published Version)
2020 Springer Science+Business Media
Language
English
Status of Item
Peer reviewed
ISSN
0920-8542
This item is made available under a Creative Commons License
File(s)
Loading...
Name
Highly_Efficient_Key_Agreement_for_5G_enabled_Patient_Monitoring.pdf
Size
1 MB
Format
Adobe PDF
Checksum (MD5)
7763669e5ef4b4ec0b8f7762e82c3acb
Owning collection