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

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

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 database...

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Bibliographic Details
Main Authors: Andrei V. Kelarev, Xun Yi, Hui Cui, Leanne Rylands, Herbert F. Jelinek
Format: Article
Language:English
Published: American Institute of Mathematical Sciences 2017-12-01
Series:AIMS Medical Science
Subjects:
medical databases
privacy and security
attribute-based encryption
homomorphic encryption
privacy preserving data mining
Online Access:http://www.aimspress.com/medicalScience/article/1764/fulltext.html

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http://www.aimspress.com/medicalScience/article/1764/fulltext.html

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