Highly efficient key agreement for remote patient monitoring in MEC-enabled 5G networks
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Highly efficient key agreement for remote patient monitoring in MEC‑enabled 5G networks An Braeken1 · Madhusanka Liyanage2,3 Accepted: 19 October 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
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. Keywords Internet of things · Medical IoT · Multi-access edge computing · 5G · Health care · Symmetric key · Authentication scheme
* An Braeken [email protected] Madhusanka Liyanage [email protected] 1
Industrial Engineering Department (INDI), Vrije Universiteit Brussel (VUB), Brussel, Belgium
2
School of Computer Science, University College Dublin, Dublin, Ireland
3
Center for Wireless Communications, University of Oulu, Oulu, Finland
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A. Braeken, M. Liyanage
1 Introduction Nowadays, the worldwide population, and in particular the population in the more developed countries, has high life expectations and is becoming steadily older. To obtain a good quality of life for the elderly people, innovative ICT-based systems and services should be put in place. One important example is the case of patient monitoring, where the health status of a patient is remotely monitored based on the input of sensors and devices, e.g., glucose sensor, blood pressure sensor, breathing sensor, etc, directly coupled to the patient. In [3], an overview of different types of medical sensors and corresponding commercial products is given. They are also referred to as the so-called Medical Internet of Things (MIoT) [23]. The MIoT market is huge and predicted to present more than 410 bil
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