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Attribute Based Encryption of Electronic Health Records: Comparative study of existing algorithms
Blekinge Institute of Technology, Faculty of Computing, Department of Computer Science and Engineering. (Department of Computer Science and Engineering)
2017 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Cloud Computing today, is an evolving technology which features large Data Storage and ready-to-access from any device. The Healthcare Industry stores large Databases of patient’s records, considering the advantages of Cloud Computing it is looking forward to moving on from the traditional, proprietary Database Management Model into an Open Source Cloud DBMS Model. To complete this transition, it is of primary importance to provide Privacy and Security for Electronic Medical Record / Electronic Health Record. There are several kinds of research being done on how to mitigate these privacy issues using algorithms like Attribute Based Encryption and Identity-Based Encryption. In this study, we compare the performance of these two attribute based encryption methods. This thesis compares the performance of the state-of-the-art Attribute Based Encryption Schemas for Electronic Medical Record / Electronic Health Record Systems. Performance evaluation is conducted in local and cloud environments. A Literature Review has been performed to identify the existing Cloud-based Electronic Health Record Systems which uses the attribute based encryption as a mechanism to mitigate the privacy issues and realization in Cloud. Two algorithms have been selected by performing snowballing from the IEEE Research Articles. Experimentation was performed on the two algorithms in a local machine and on Amazon Web Services Cloud Platform to compare the performance. Verification of performance in each stage of the execution of the algorithms, in both local machine and Cloud environment, was done.

Place, publisher, year, edition, pages
2017. , 40 p.
Keyword [en]
Attribute Based Encryption, Electronic Health Records, Cloud Computing, Privacy
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-14093OAI: oai:DiVA.org:bth-14093DiVA: diva2:1088528
Subject / course
DV2566 Master's Thesis (120 credits) in Computer Science
Educational program
DVAXA Master of Science Programme in Computer Science
Presentation
2017-01-24, J1650, Blekinge Institute of Technology, Karlskrona, 13:00 (English)
Supervisors
Examiners
Available from: 2017-04-18 Created: 2017-04-12 Last updated: 2017-04-18Bibliographically approved

Open Access in DiVA

fulltext(860 kB)50 downloads
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Seethamraju, Arun Tej
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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf