Healthcare data privacy measures to cure & care cloud uncertainties

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)

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Abstract

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.

Item Type: Article
Impact Factor: cited By 0; Conference of 4th IEEE International Conference on Signal Processing, Computing and Control, ISPCC 2017 ; Conference Date: 21 September 2017 Through 23 September 2017; Conference Code:134073
Uncontrolled Keywords: Cloud computing; Cryptography; Health care; Signal processing, Algorithmic measures; Cloud uncertainties; Comprehensive comparisons; Cryptographic methods; Data Science; Data-privacy preserving; Healthcare reforms; Privacy preserving, Data privacy
Departments / MOR / COE: Research Institutes > Institute for Health Analytics
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 01 Aug 2018 03:17
Last Modified: 01 Feb 2019 02:55
URI: http://scholars.utp.edu.my/id/eprint/21831

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