A survey of state-of-the-art methods for securing medical databases
作者： Andrei V. Kelarev , , Xun Yi , Hui Cui , Leanne Rylands
关键词: Confidentiality 、 Work (electrical) 、 Encryption 、 Attribute-based encryption 、 Homomorphic encryption 、 Database 、 State (computer science) 、 Computer science
摘要: This review article presents a survey of recent work devoted to advanced state-of-the-art methods for securing medical databases. We concentrate on three main directions, which have received attention recently: attribute-based encryption enabling secure access confidential databases distributed among several data centers; homomorphic providing answers queries in manner; and privacy-preserving mining used analyze stored verifying hypotheses discovering trends. Only the most significant has been included.
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