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QKD in Cloud-Fog Computing for Personal Health Record

L. Arulmozhiselvan*, E. Uma

Department of Information Science and Technology, Anna University, Chennai, 600025, India

* Corresponding Author: L. Arulmozhiselvan. Email: email

Computer Systems Science and Engineering 2022, 43(1), 45-57. https://doi.org/10.32604/csse.2022.022024

Abstract

Cloud computing is a rapid growing technology which delivers computing services such as servers, storage, database, networking, software and analytics. It has brought a new way to securely store and share information and data with multiple users. When authorized person access these clouds, the released data should not compromise any individual’s privacy and identity should not be revealed. Fog Computing is the extension of cloud with decentralized structure which stores the data in locations somewhere between the data source and cloud. The goal of fog computing is to provide high security, improve performance and network efficiency. We use quantum key distribution to produce and distribute key which change its quantum state and key, when key is known by mediator and it has ability to detect presence of mediator trying to gain lore of the key. In this paper, we introduced sugar-salt encryption which overcomes brute-force attack in effect delivers phony data in return to every incorrect guess of the password or key.

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Cite This Article

APA Style
Arulmozhiselvan, L., Uma, E. (2022). QKD in cloud-fog computing for personal health record. Computer Systems Science and Engineering, 43(1), 45-57. https://doi.org/10.32604/csse.2022.022024
Vancouver Style
Arulmozhiselvan L, Uma E. QKD in cloud-fog computing for personal health record. Comput Syst Sci Eng. 2022;43(1):45-57 https://doi.org/10.32604/csse.2022.022024
IEEE Style
L. Arulmozhiselvan and E. Uma, “QKD in Cloud-Fog Computing for Personal Health Record,” Comput. Syst. Sci. Eng., vol. 43, no. 1, pp. 45-57, 2022. https://doi.org/10.32604/csse.2022.022024



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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