Journal article
A survey of state-of-the-art methods for securing medical databases
AIMS Medical Science, Vol.5(1), pp.1-22
2018
Abstract
This review article presents a survey of recent work devoted to advanced state-of-the-art methods for securing of medical databases. We concentrate on three main directions, which have received attention recently: attribute-based encryption for enabling secure access to confidential medical databases distributed among several data centers; homomorphic encryption for providing answers to confidential queries in a secure manner; and privacy-preserving data mining used to analyze data stored in medical databases for verifying hypotheses and discovering trends. Only the most recent and significant work has been included.
Details
- Title
- A survey of state-of-the-art methods for securing medical databases
- Authors/Creators
- A.V. Kelarev (Author/Creator)X. Yi (Author/Creator)H. Cui (Author/Creator)L. Rylands (Author/Creator)H.F. Jelinek (Author/Creator)
- Publication Details
- AIMS Medical Science, Vol.5(1), pp.1-22
- Publisher
- AIMS Press
- Identifiers
- 991005541384907891
- Copyright
- © 2018 the Author(s)
- Murdoch Affiliation
- Murdoch University
- Language
- English
- Resource Type
- Journal article
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