Highly efficient key agreement for remote patient monitoring in MEC-enabled 5G networks

Abstract

Remote patient monitoring is one of the cornerstones to enable Ambient Assisted Living (AAL). 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.

Smart Healthcare Applications over 5G Networks: A Systematic Review

“…Remote care: surgery and diagnosis [26,27,29,30,34,[36][37][38][39][40][41]45,47,51,53,54,[58][59][60] Real-time continuous monitoring [17,18,[20][21][22][23][24][25]28,32,33,35,42,44,46,[48][49][50]52,[55][56][57]] Data transmission: smart ambulance [19,31,43] 3.1.1. Remote Care: Surgery and Diagnosis Through remote care, healthcare specialists provide medical services remotely via the Internet.…”

“…Another type of security architecture that uses authentication is EAP-TLS (Extensible Authentication Protocol-Transport Layer Security) [46]. This architecture is used in private networks and in systems that make use of IoT devices, for the authentication of the user equipment (UE) and the virtual network.…”

“…Constant attention and inmediate with intelligent systems[17,18,[20][21][22][23][24][25][26]28,32,33,35,42,44,[48][49][50]52,[55][56][57]60] Specialized medical care in remote areas[27,29,30,34,[36][37][38][39][40][41][45][46][47]53,54,56,58,59] Immediate emergency assistance[19,31,43] …”

Towards Federated Learning and Multi-Access Edge Computing for Air Quality Monitoring: Literature Review and Assessment

“…Primarily, it brings data processing and analysis closer to the source of data generation, bypassing the need for centralized cloud servers. This proximity aids in producing real-time insights into air quality, enhancing the efficiency of environmental monitoring [50][51][52]. As illustrated in Figure 4, data collection encompasses a variety of sources, such as stationary and mobile air quality IoT sensors, meteorological stations, satellite remote sensing (https://airquality.gsfc.nasa.gov/ (accessed on 25 January 2023)), and social media platforms [53][54][55][56][57][58].…”

Projections of IoT Applications in Colombia Using 5G Wireless Networks

“…IoT/5G deployment is currently contributing to the rise of healthcare applications because they leverage higher availability, high scalability, and low network latency [169]. In addition, multi-access perimeter computing nodes in 5G provide sufficient compute and storage capacities at the edge of the network [170].…”