NDLI: Privacy Protection in Secure Database Service

Content Provider	IEEE Xplore Digital Library
Author	Yu Yonghong
Copyright Year	2010
Abstract	There has been much recent interest in secure database service that provides reliable storage and efficient query execution, while not knowing the contents of the database. Existing proposals for secure database services have typically been founded on encryption. However, our research shows that secure database services based on data encryption is not well-balanced on dealing with the contradiction between data privacy preserving and efficient queries. In this paper, we propose an automatic attributes detection partition method and a new security model which partition data in unencrypted form to distributed secure database servers. The theoretical analysis and experimental results show that our new method is feasible and provide efficient privacy protection and efficient query execution, and support horizontal fragmentation and semantic attribute decomposition.
Starting Page	218
Ending Page	222
File Size	285086
Page Count	5
File Format	PDF
ISBN	9780769540115
e-ISBN	9781424465989
DOI	10.1109/NSWCTC.2010.58
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data privacy Data security Memory data cluster partition Credit cards Proposals Secure storage automatic quasi-identifiers detection privacy protection Distributed databases Cryptography Protection Computer security secure database service
Content Type	Text
Resource Type	Article

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