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
|Author:||Braeken, An1; Porambage, Pawani2; Puvaneswaran, Amirthan2;|
1Industrial Engineering INDI, Vrije Universiteit Brussel, Belgium
2Centre for Wireless Communications, University of Oulu, Finland
3School of Computer Science, University College Dublin, Ireland
|Online Access:||PDF Full Text (PDF, 1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe202103096834
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2021-03-09
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.
|Pages:||1 - 7|
2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech)
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
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.
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