An Affordable Hybrid Cloud Based Cluster for Secure Health Informatics Research

An Affordable Hybrid Cloud Based Cluster for Secure Health Informatics Research

Basit Qureshi (Prince Sultan University, Riyadh, Saudi Arabia)
Copyright: © 2018 |Pages: 20
DOI: 10.4018/IJCAC.2018040102

Abstract

This article describes how a major risk factor in the deployment of patient health records systems in the cloud is the security and privacy of data. Hybrid cloud solutions have been proposed that leverage the public and private cloud deployment to manage and alleviate accessibility, access control and privacy concerns. This article presents a privacy preserving and secure architecture for data acquisition, storage, processing and sharing. The proposed architecture is composed of a public cloud-based services that interact with a low-cost cloud computing cluster (LoC4) as a backend. A lightweight data security eco-system based on attribute based encryption is developed to provide security for public cloud-based data storage. Performance of the deployment is evaluated in a real-time deployment environment. The results show that the proposed ABE-based system is 2.3 times faster than AES-based for a variety of sizes of data blocks. It is further noted that the low-cost and affordability of LoC4 platform offers excellent opportunities for academic research in cloud based health informatics.
Article Preview

1. Introduction

Electronic health record (EHR) and personal health record (PHR) systems are widely available and use different technologies and standards (Bahga, 2015; Sun, 2013). The variety and size of medical health records data makes it difficult for researchers to accurately and easily integrate data from various sources. Due to the high cost of building and maintaining specialized data centers many healthcare providers have been outsourcing PHR systems to third part cloud service providers such as Microsoft Health Vault, Google Health, General Electric’s Centricity Patient Online, eClinicalWorks and many more. Cloud computing provides storage for large scale data on external servers allowing researchers and developers to easily access the data (Fang, 2016). Although the technology is being used in recent years with many benefits such as reducing the cost for maintaining servers whereas improving the availability of the systems, there have been wide spread privacy concerns since personal healthcare information can be exposed to unauthorized parties.

Due to the sensitivity of personal information, the cloud based PHRs could potentially become targets of various malicious behaviors. Furthermore, Guo et. al. in (Guo, 2016) and (Abbas, 2017) describe various security issues and threats in cloud computing environment. In (Asija R., 2016), researchers develop a security aware public cloud based SaaS model for healthcare applications embedding XML based meta data for PHRs. Works presented in (ZhouJ, 2015), (ZhouCao, 2015) and (Li, 2013) have proposed several cloud-based secure systems, especially cloud-based PHR systems using encryption where PHR data is encrypted and stored in cloud based storage. In (Man, 2017), (Wang, 2014) and (Zhou, 2015) authors deduce that any public cloud based security model may have inherent threats of trust, security and privacy. They highlight that the complexity of key management in encrypted PHR systems increases for the owners and users resulting in Quality of Service issues. (Liu, 2017) note that hybrid cloud environment integrating the public and private cloud infrastructure is a more applicable solution for PHR sharing.

Complete Article List

Search this Journal:
Reset
Open Access Articles: Forthcoming
Volume 9: 4 Issues (2019): 1 Released, 3 Forthcoming
Volume 8: 4 Issues (2018)
Volume 7: 4 Issues (2017)
Volume 6: 4 Issues (2016)
Volume 5: 4 Issues (2015)
Volume 4: 4 Issues (2014)
Volume 3: 4 Issues (2013)
Volume 2: 4 Issues (2012)
Volume 1: 4 Issues (2011)
View Complete Journal Contents Listing