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Healthcare data privacy measures to cure & care cloud uncertainties

Information technology has great potential to improve healthcare quality and efficiency, and thus, has been a major focus of recent healthcare reform efforts. Today, data are usually tackled by leveraging existing encryption cryptographic methods, such that only outsourced data are encrypted and is...

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Main Authors: Singh, N., Jangra, A., Elamvazuthi, I., Kashyap, K.
Format: Article
Published: Institute of Electrical and Electronics Engineers Inc. 2018
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045838865&doi=10.1109%2fISPCC.2017.8269712&partnerID=40&md5=f659ea6fde510a7e316ae2b8e7c102fa
http://eprints.utp.edu.my/21831/
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spelling my.utp.eprints.218312019-02-01T02:55:08Z Healthcare data privacy measures to cure & care cloud uncertainties Singh, N. Jangra, A. Elamvazuthi, I. Kashyap, K. Information technology has great potential to improve healthcare quality and efficiency, and thus, has been a major focus of recent healthcare reform efforts. Today, data are usually tackled by leveraging existing encryption cryptographic methods, such that only outsourced data are encrypted and is inaccessible by cloud servers that enables to protect the confidentiality of the data. In this paper, various healthcare data privacy measures are studied and analyzed. It divides the measures on the basis of three major platforms, i.e., Architectural Measures, Technique-based Measures and Algorithmic Measures. Here, a detailed view of wide variety of proposals are beaded together to help researchers to get the best out of all traditional and conventional healthcare data privacy preserving schemes. A comprehensive comparison of the privacy-preserving approaches from the angle of the privacy-preserving requirements' satisfaction is presented. © 2017 IEEE. Institute of Electrical and Electronics Engineers Inc. 2018 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045838865&doi=10.1109%2fISPCC.2017.8269712&partnerID=40&md5=f659ea6fde510a7e316ae2b8e7c102fa Singh, N. and Jangra, A. and Elamvazuthi, I. and Kashyap, K. (2018) Healthcare data privacy measures to cure & care cloud uncertainties. 4th IEEE International Conference on Signal Processing, Computing and Control, ISPCC 2017, 2017-J . pp. 402-407. (Submitted) http://eprints.utp.edu.my/21831/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Information technology has great potential to improve healthcare quality and efficiency, and thus, has been a major focus of recent healthcare reform efforts. Today, data are usually tackled by leveraging existing encryption cryptographic methods, such that only outsourced data are encrypted and is inaccessible by cloud servers that enables to protect the confidentiality of the data. In this paper, various healthcare data privacy measures are studied and analyzed. It divides the measures on the basis of three major platforms, i.e., Architectural Measures, Technique-based Measures and Algorithmic Measures. Here, a detailed view of wide variety of proposals are beaded together to help researchers to get the best out of all traditional and conventional healthcare data privacy preserving schemes. A comprehensive comparison of the privacy-preserving approaches from the angle of the privacy-preserving requirements' satisfaction is presented. © 2017 IEEE.
format Article
author Singh, N.
Jangra, A.
Elamvazuthi, I.
Kashyap, K.
spellingShingle Singh, N.
Jangra, A.
Elamvazuthi, I.
Kashyap, K.
Healthcare data privacy measures to cure & care cloud uncertainties
author_facet Singh, N.
Jangra, A.
Elamvazuthi, I.
Kashyap, K.
author_sort Singh, N.
title Healthcare data privacy measures to cure & care cloud uncertainties
title_short Healthcare data privacy measures to cure & care cloud uncertainties
title_full Healthcare data privacy measures to cure & care cloud uncertainties
title_fullStr Healthcare data privacy measures to cure & care cloud uncertainties
title_full_unstemmed Healthcare data privacy measures to cure & care cloud uncertainties
title_sort healthcare data privacy measures to cure & care cloud uncertainties
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2018
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85045838865&doi=10.1109%2fISPCC.2017.8269712&partnerID=40&md5=f659ea6fde510a7e316ae2b8e7c102fa
http://eprints.utp.edu.my/21831/
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score 13.211869

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