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A survey of state-of-the-art methods for securing medical databases

Kelarev, A.V., Yi, X., Cui, H.ORCID: 0000-0002-5820-2233, Rylands, L. and Jelinek, H.F. (2018) A survey of state-of-the-art methods for securing medical databases. AIMS Medical Science, 5 (1). pp. 1-22.

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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.

Item Type: Journal Article
Publisher: AIMS Press
Copyright: © 2018 the Author(s)
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