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A. Braeken, P. Porambage, A. Puvaneswaran and M. Liyanage, "ESSMAR: Edge Supportive Secure Mobile Augmented Reality Architecture for Healthcare," 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech), Marrakesh, Morocco, 2020, pp. 1-7, doi: 10.1109/CloudTech49835.2020.9365909

ESSMAR : edge supportive secure mobile augmented reality architecture for healthcare

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Author: Braeken, An1; Porambage, Pawani2; Puvaneswaran, Amirthan2;
Organizations: 1Industrial Engineering INDI, Vrije Universiteit Brussel, Belgium
2Centre for Wireless Communications, University of Oulu, Finland
3School of Computer Science, University College Dublin, Ireland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202103096834
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2021-03-09
Description:

Abstract

The recent advances in mobile devices and wireless communication sector transformed Mobile Augmented Reality (MAR) from science fiction to reality. Among the other MAR use cases, the incorporation of this MAR technology in the healthcare sector can elevate the quality of diagnosis and treatment for the patients. However, due to the highly sensitive nature of the data available in this process, it is also highly vulnerable to all types of security threats. In this paper, an edge-based secure architecture is presented for a MAR healthcare application. Based on the ESSMAR architecture, a secure key management scheme is proposed for both the registration and authentication phases. Then the security of the proposed scheme is validated using formal and informal verification methods.

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ISBN: 978-1-7281-6175-4
ISBN Print: 978-1-7281-6176-1
Pages: 1 - 7
Article number: 9365909
DOI: 10.1109/CloudTech49835.2020.9365909
OADOI: https://oadoi.org/10.1109/CloudTech49835.2020.9365909
Host publication: 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)
Conference: International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
Article
Funding: This work has been performed under the framework of 6Genesis Flagship (grant 318927), 5GEAR, SecureConnect, Cost Action CA17124 and RESPONSE 5G (Grant No: 789658) projects. This research is funded by the Academy of Finland, Business Finland and the European Union.
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
Copyright information: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.