Secured e-health data retrieval in DaaS and Big Data

Shin, David, Sahama, Tony, & Gajanayake, Randike (2013) Secured e-health data retrieval in DaaS and Big Data. In 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services (Healthcom 2013), 9-12 October 2013, Lisbon, Portugal.

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Abstract

Big Data is a rising IT trend similar to cloud computing, social networking or ubiquitous computing. Big Data can offer beneficial scenarios in the e-health arena. However, one of the scenarios can be that Big Data needs to be kept secured for a long period of time in order to gain its benefits such as finding cures for infectious diseases and protecting patient privacy. From this connection, it is beneficial to analyse Big Data to make meaningful information while the data is stored securely. Therefore, the analysis of various database encryption techniques is essential. In this study, we simulated 3 types of technical environments, namely, Plain-text, Microsoft Built-in Encryption, and custom Advanced Encryption Standard, using Bucket Index in Data-as-a-Service. The results showed that custom AES-DaaS has a faster range query response time than MS built-in encryption. Furthermore, while carrying out the scalability test, we acknowledged that there are performance thresholds depending on physical IT resources. Therefore, for the purpose of efficient Big Data management in eHealth it is noteworthy to examine their scalability limits as well even if it is under a cloud computing environment. In addition, when designing an e-health database, both patient privacy and system performance needs to be dealt as top priorities.

Impact and interest:

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ID Code: 62371
Item Type: Conference Paper
Refereed: Yes
Additional URLs:
Keywords: component, formatting, e-health, security, DaaS, Big Data, cloud, Bucket Index, Bloom filter, AES
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000)
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Past > Institutes > Information Security Institute
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: Copyright 2013 Please consult the authors
Deposited On: 08 Sep 2013 22:28
Last Modified: 15 Mar 2014 23:09

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