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Authors: Abdelghani Krinah 1 ; Yacine Challal 2 ; Mawloud Omar 3 and Omar Nouali 1

Affiliations: 1 Computing Security Division, Cerist, Algiers and Algeria ; 2 ESI, Algiers and Algeria ; 3 Bejaia University, Bejaia and Algeria

ISBN: 978-989-758-372-8

Keyword(s): Fog Computing, e-Health Applications, Data Confidentiality, Attribute based Encryption.

Abstract: Fog is an extension of the cloud computing paradigm, developed to fix the clouds latency, especially for applications requiring a very short response time, such as e-health applications. However, these applications also require a high level of data confidentiality, hence the need to apply appropriate encryption techniques, which can ensure security needs, while respecting the characteristics of the infrastructures devices. In this article, we will focus on ABE encryption, through the work done to study its applicability in the cloud and the Internet of things, as well as the improvements that can be made to adapt it to the fog computing environment.

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Paper citation in several formats:
Krinah, A.; Challal, Y.; Omar, M. and Nouali, O. (2019). Using ABE for Medical Data Protection in Fog Computing.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-372-8, pages 155-161. DOI: 10.5220/0007424601550161

@conference{iceis19,
author={Abdelghani Krinah. and Yacine Challal. and Mawloud Omar. and Omar Nouali.},
title={Using ABE for Medical Data Protection in Fog Computing},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2019},
pages={155-161},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007424601550161},
isbn={978-989-758-372-8},
}

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - Using ABE for Medical Data Protection in Fog Computing
SN - 978-989-758-372-8
AU - Krinah, A.
AU - Challal, Y.
AU - Omar, M.
AU - Nouali, O.
PY - 2019
SP - 155
EP - 161
DO - 10.5220/0007424601550161

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